diff --git a/assets/texts/t2v_car.txt b/assets/texts/t2v_car.txt new file mode 100644 index 0000000..f9bd226 --- /dev/null +++ b/assets/texts/t2v_car.txt @@ -0,0 +1 @@ +|0|A car driving on the in forest.|2|A car driving in the desert.|4|A car driving near the coast.|6|A car driving in the city.|8|A car driving near a mountain.|10|A car driving on the surface of a river.|12|A car driving on the surface of the earch.|14|A car driving in the universe.{"reference_path": "https://cdn.openai.com/tmp/s/interp/d0.mp4", "mask_strategy": "0,0,0,0,16,0.4"} diff --git a/assets/texts/t2v_samples.txt b/assets/texts/t2v_samples.txt index 312db46..7953f37 100644 --- a/assets/texts/t2v_samples.txt +++ b/assets/texts/t2v_samples.txt @@ -1,5 +1,5 @@ A soaring drone footage captures the majestic beauty of a coastal cliff, its red and yellow stratified rock faces rich in color and against the vibrant turquoise of the sea. Seabirds can be seen taking flight around the cliff's precipices. As the drone slowly moves from different angles, the changing sunlight casts shifting shadows that highlight the rugged textures of the cliff and the surrounding calm sea. The water gently laps at the rock base and the greenery that clings to the top of the cliff, and the scene gives a sense of peaceful isolation at the fringes of the ocean. The video captures the essence of pristine natural beauty untouched by human structures. -The video captures the majestic beauty of a waterfall cascading down a cliff into a serene lake. The waterfall, with its powerful flow, is the central focus of the video. The surrounding landscape is lush and green, with trees and foliage adding to the natural beauty of the scene. The camera angle provides a bird's eye view of the waterfall, allowing viewers to appreciate the full height and grandeur of the waterfall. The video is a stunning representation of nature's power and beauty. +A majestic beauty of a waterfall cascading down a cliff into a serene lake. The waterfall, with its powerful flow, is the central focus of the video. The surrounding landscape is lush and green, with trees and foliage adding to the natural beauty of the scene. The camera angle provides a bird's eye view of the waterfall, allowing viewers to appreciate the full height and grandeur of the waterfall. The video is a stunning representation of nature's power and beauty. A vibrant scene of a snowy mountain landscape. The sky is filled with a multitude of colorful hot air balloons, each floating at different heights, creating a dynamic and lively atmosphere. The balloons are scattered across the sky, some closer to the viewer, others further away, adding depth to the scene. Below, the mountainous terrain is blanketed in a thick layer of snow, with a few patches of bare earth visible here and there. The snow-covered mountains provide a stark contrast to the colorful balloons, enhancing the visual appeal of the scene. In the foreground, a few cars can be seen driving along a winding road that cuts through the mountains. The cars are small compared to the vastness of the landscape, emphasizing the grandeur of the surroundings. The overall style of the video is a mix of adventure and tranquility, with the hot air balloons adding a touch of whimsy to the otherwise serene mountain landscape. The video is likely shot during the day, as the lighting is bright and even, casting soft shadows on the snow-covered mountains. The vibrant beauty of a sunflower field. The sunflowers, with their bright yellow petals and dark brown centers, are in full bloom, creating a stunning contrast against the green leaves and stems. The sunflowers are arranged in neat rows, creating a sense of order and symmetry. The sun is shining brightly, casting a warm glow on the flowers and highlighting their intricate details. The video is shot from a low angle, looking up at the sunflowers, which adds a sense of grandeur and awe to the scene. The sunflowers are the main focus of the video, with no other objects or people present. The video is a celebration of nature's beauty and the simple joy of a sunny day in the countryside. A serene underwater scene featuring a sea turtle swimming through a coral reef. The turtle, with its greenish-brown shell, is the main focus of the video, swimming gracefully towards the right side of the frame. The coral reef, teeming with life, is visible in the background, providing a vibrant and colorful backdrop to the turtle's journey. Several small fish, darting around the turtle, add a sense of movement and dynamism to the scene. The video is shot from a slightly elevated angle, providing a comprehensive view of the turtle's surroundings. The overall style of the video is calm and peaceful, capturing the beauty and tranquility of the underwater world. diff --git a/docs/report_02.md b/docs/report_02.md index 52f59df..4fc60eb 100644 --- a/docs/report_02.md +++ b/docs/report_02.md @@ -5,7 +5,6 @@ - [Masked DiT as Image/Video-to-Video Model](#masked-dit-as-imagevideo-to-video-model) - [Data Collection \& Pipeline](#data-collection--pipeline) - [Training Details](#training-details) -- [Results and Evaluation](#results-and-evaluation) - [Limitation and Future Work](#limitation-and-future-work) In Open-Sora 1.1 release, we train a 700M models on 10M data (Open-Sora 1.0 trained on 400K data) with a better STDiT architecture. We implement the following features mentioned in [sora's report](https://openai.com/research/video-generation-models-as-world-simulators): @@ -103,13 +102,11 @@ With limited computational resources, we have to carefully monitor the training To summarize, the training of Open-Sora 1.1 requires approximately **9 days** on 64 H800 GPUs. -## Results and Evaluation - ## Limitation and Future Work As we get one step closer to the replication of Sora, we find many limitations for the current model, and these limitations point to the future work. -- **Generation Failure**: we fine many cases (especially when the total token number is large or the content is complex), our model fails to generate the scene. +- **Generation Failure**: we fine many cases (especially when the total token number is large or the content is complex), our model fails to generate the scene. There may be a collapse in the temporal attention and we are working hard on it. - **Noisy generation and influency**: we find the generated model is sometimes noisy and not fluent, especially for long videos. We think the problem is due to not using a temporal VAE. As [Pixart-Sigma](https://arxiv.org/abs/2403.04692) finds that adapting to a new VAE is simple, we plan to develop a temporal VAE for the model in the next version. - **Lack of time consistency**: we find the model cannot generate videos with high time consistency. We think the problem is due to the lack of training FLOPs. We plan to collect more data and continue training the model to improve the time consistency. - **Bad human generation**: We find the model cannot generate high-quality human videos. We think the problem is due to the lack of human data. We plan to collect more human data and continue training the model to improve the human generation. diff --git a/eval/launch.sh b/eval/launch.sh index ea7a5f4..4b3937d 100644 --- a/eval/launch.sh +++ b/eval/launch.sh @@ -14,14 +14,14 @@ LOG_BASE=logs/sample/$CKPT_BASE echo "Logging to $LOG_BASE" # == sample & human evaluation == -CUDA_VISIBLE_DEVICES=0 bash eval/sample.sh $CKPT -1 >${LOG_BASE}_1.log 2>&1 & -CUDA_VISIBLE_DEVICES=1 bash eval/sample.sh $CKPT -2a >${LOG_BASE}_2a.log 2>&1 & -CUDA_VISIBLE_DEVICES=2 bash eval/sample.sh $CKPT -2b >${LOG_BASE}_2b.log 2>&1 & -CUDA_VISIBLE_DEVICES=3 bash eval/sample.sh $CKPT -2c >${LOG_BASE}_2c.log 2>&1 & -CUDA_VISIBLE_DEVICES=4 bash eval/sample.sh $CKPT -2d >${LOG_BASE}_2d.log 2>&1 & -CUDA_VISIBLE_DEVICES=5 bash eval/sample.sh $CKPT -2e >${LOG_BASE}_2e.log 2>&1 & -CUDA_VISIBLE_DEVICES=6 bash eval/sample.sh $CKPT -2f >${LOG_BASE}_2f.log 2>&1 & -CUDA_VISIBLE_DEVICES=7 bash eval/sample.sh $CKPT -2g >${LOG_BASE}_2g.log 2>&1 & +# CUDA_VISIBLE_DEVICES=0 bash eval/sample.sh $CKPT -1 >${LOG_BASE}_1.log 2>&1 & +# CUDA_VISIBLE_DEVICES=1 bash eval/sample.sh $CKPT -2a >${LOG_BASE}_2a.log 2>&1 & +# CUDA_VISIBLE_DEVICES=2 bash eval/sample.sh $CKPT -2b >${LOG_BASE}_2b.log 2>&1 & +# CUDA_VISIBLE_DEVICES=3 bash eval/sample.sh $CKPT -2c >${LOG_BASE}_2c.log 2>&1 & +# CUDA_VISIBLE_DEVICES=4 bash eval/sample.sh $CKPT -2d >${LOG_BASE}_2d.log 2>&1 & +# CUDA_VISIBLE_DEVICES=5 bash eval/sample.sh $CKPT -2e >${LOG_BASE}_2e.log 2>&1 & +# CUDA_VISIBLE_DEVICES=6 bash eval/sample.sh $CKPT -2f >${LOG_BASE}_2f.log 2>&1 & +# CUDA_VISIBLE_DEVICES=7 bash eval/sample.sh $CKPT -2g >${LOG_BASE}_2g.log 2>&1 & # CUDA_VISIBLE_DEVICES=0 bash eval/sample.sh $CKPT -2h >${LOG_BASE}_2h.log 2>&1 & @@ -35,4 +35,14 @@ CUDA_VISIBLE_DEVICES=7 bash eval/sample.sh $CKPT -2g >${LOG_BASE}_2g.log 2>&1 & # CUDA_VISIBLE_DEVICES=6 bash eval/sample.sh $CKPT -4g >${LOG_BASE}_4g.log 2>&1 & # CUDA_VISIBLE_DEVICES=7 bash eval/sample.sh $CKPT -4h >${LOG_BASE}_4h.log 2>&1 & +# == vbench i2v == +CUDA_VISIBLE_DEVICES=0 bash eval/sample.sh $CKPT -5a >${LOG_BASE}_5a.log 2>&1 & +CUDA_VISIBLE_DEVICES=1 bash eval/sample.sh $CKPT -5b >${LOG_BASE}_5b.log 2>&1 & +CUDA_VISIBLE_DEVICES=2 bash eval/sample.sh $CKPT -5c >${LOG_BASE}_5c.log 2>&1 & +CUDA_VISIBLE_DEVICES=3 bash eval/sample.sh $CKPT -5d >${LOG_BASE}_5d.log 2>&1 & +CUDA_VISIBLE_DEVICES=4 bash eval/sample.sh $CKPT -5e >${LOG_BASE}_5e.log 2>&1 & +CUDA_VISIBLE_DEVICES=5 bash eval/sample.sh $CKPT -5f >${LOG_BASE}_5f.log 2>&1 & +CUDA_VISIBLE_DEVICES=6 bash eval/sample.sh $CKPT -5g >${LOG_BASE}_5g.log 2>&1 & +CUDA_VISIBLE_DEVICES=7 bash eval/sample.sh $CKPT -5h >${LOG_BASE}_5h.log 2>&1 & + # kill all by: pkill -f "inference" diff --git a/eval/multiple.sh b/eval/multiple.sh index 4bbc784..5e1dfe0 100644 --- a/eval/multiple.sh +++ b/eval/multiple.sh @@ -14,93 +14,260 @@ if [[ $CKPT == *"ema"* ]]; then else CKPT_BASE=$(basename $CKPT) fi -OUTPUT="./samples_${CKPT_BASE}_${NAME}" +OUTPUT="./samples/samples_${CKPT_BASE}_${NAME}" start=$(date +%s) # Generate samples -# 16x240p +# == 16x240p == +# 1:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x240p_1_1 \ + --num-frames 16 --image-size 320 320 --num-sample $NUM_SAMPLE +# 16:9 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x240p_16_9 \ + --num-frames 16 --image-size 240 426 --num-sample $NUM_SAMPLE +# 9:16 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x240p_9_16 \ + --num-frames 16 --image-size 426 240 --num-sample $NUM_SAMPLE +# 4:3 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x240p_4_3 \ + --num-frames 16 --image-size 276 368 --num-sample $NUM_SAMPLE +# 3:4 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x240p_3_4 \ + --num-frames 16 --image-size 368 276 --num-sample $NUM_SAMPLE +# 1:2 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x240p_1_2 \ + --num-frames 16 --image-size 226 452 --num-sample $NUM_SAMPLE +# 2:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x240p_2_1 \ + --num-frames 16 --image-size 452 226 --num-sample $NUM_SAMPLE -# 64x240p +# == 64x240p == +# 1:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x240p_1_1 \ + --num-frames 64 --image-size 320 320 --num-sample $NUM_SAMPLE +# 16:9 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x240p_16_9 \ + --num-frames 64 --image-size 240 426 --num-sample $NUM_SAMPLE +# 9:16 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x240p_9_16 \ + --num-frames 64 --image-size 426 240 --num-sample $NUM_SAMPLE +# 4:3 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x240p_4_3 \ + --num-frames 64 --image-size 276 368 --num-sample $NUM_SAMPLE +# 3:4 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x240p_3_4 \ + --num-frames 64 --image-size 368 276 --num-sample $NUM_SAMPLE +# 1:2 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x240p_1_2 \ + --num-frames 64 --image-size 226 452 --num-sample $NUM_SAMPLE +# 2:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x240p_2_1 \ + --num-frames 64 --image-size 452 226 --num-sample $NUM_SAMPLE -# 128x240p +# == 128x240p == +# 1:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x240p_1_1 \ + --num-frames 128 --image-size 320 320 --num-sample $NUM_SAMPLE +# 16:9 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x240p_16_9 \ + --num-frames 128 --image-size 240 426 --num-sample $NUM_SAMPLE +# 9:16 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x240p_9_16 \ + --num-frames 128 --image-size 426 240 --num-sample $NUM_SAMPLE +# 4:3 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x240p_4_3 \ + --num-frames 128 --image-size 276 368 --num-sample $NUM_SAMPLE +# 3:4 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x240p_3_4 \ + --num-frames 128 --image-size 368 276 --num-sample $NUM_SAMPLE +# 1:2 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x240p_1_2 \ + --num-frames 128 --image-size 226 452 --num-sample $NUM_SAMPLE +# 2:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x240p_2_1 \ + --num-frames 128 --image-size 452 226 --num-sample $NUM_SAMPLE -# 16x320p +# == 16x360p == +# 1:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x360p_1_1 \ + --num-frames 16 --image-size 480 480 --num-sample $NUM_SAMPLE +# 16:9 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x360p_16_9 \ + --num-frames 16 --image-size 360 640 --num-sample $NUM_SAMPLE +# 9:16 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x360p_9_16 \ + --num-frames 16 --image-size 640 360 --num-sample $NUM_SAMPLE +# 4:3 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x360p_4_3 \ + --num-frames 16 --image-size 416 554 --num-sample $NUM_SAMPLE +# 3:4 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x360p_3_4 \ + --num-frames 16 --image-size 554 416 --num-sample $NUM_SAMPLE +# 1:2 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x360p_1_2 \ + --num-frames 16 --image-size 360 640 --num-sample $NUM_SAMPLE +# 2:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x360p_2_1 \ + --num-frames 16 --image-size 640 360 --num-sample $NUM_SAMPLE -# 64x320p +# == 64x360p == +# 1:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x360p_1_1 \ + --num-frames 64 --image-size 480 480 --num-sample $NUM_SAMPLE +# 16:9 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x360p_16_9 \ + --num-frames 64 --image-size 360 640 --num-sample $NUM_SAMPLE +# 9:16 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x360p_9_16 \ + --num-frames 64 --image-size 640 360 --num-sample $NUM_SAMPLE +# 4:3 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x360p_4_3 \ + --num-frames 64 --image-size 416 554 --num-sample $NUM_SAMPLE +# 3:4 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x360p_3_4 \ + --num-frames 64 --image-size 554 416 --num-sample $NUM_SAMPLE +# 1:2 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x360p_1_2 \ + --num-frames 64 --image-size 360 640 --num-sample $NUM_SAMPLE +# 2:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x360p_2_1 \ + --num-frames 64 --image-size 640 360 --num-sample $NUM_SAMPLE -# 128x320p +# == 128x360p == +# 1:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x360p_1_1 \ + --num-frames 128 --image-size 480 480 --num-sample $NUM_SAMPLE +# 16:9 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x360p_16_9 \ + --num-frames 128 --image-size 360 640 --num-sample $NUM_SAMPLE +# 9:16 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x360p_9_16 \ + --num-frames 128 --image-size 640 360 --num-sample $NUM_SAMPLE +# 4:3 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x360p_4_3 \ + --num-frames 128 --image-size 416 554 --num-sample $NUM_SAMPLE +# 3:4 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x360p_3_4 \ + --num-frames 128 --image-size 554 416 --num-sample $NUM_SAMPLE +# 1:2 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x360p_1_2 \ + --num-frames 128 --image-size 360 640 --num-sample $NUM_SAMPLE +# 2:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 128x360p_2_1 \ + --num-frames 128 --image-size 640 360 --num-sample $NUM_SAMPLE -# 16x480p +# == 16x480p == # 1:1 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x480p_1_1 \ - --num-frames 16 --image-size 360 360 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 640 640 --num-sample $NUM_SAMPLE # 16:9 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x480p_16_9 \ - --num-frames 16 --image-size 360 640 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 480 854 --num-sample $NUM_SAMPLE # 9:16 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x480p_9_16 \ - --num-frames 16 --image-size 1280 720 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 854 480 --num-sample $NUM_SAMPLE # 4:3 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x480p_4_3 \ - --num-frames 16 --image-size 832 1108 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 554 738 --num-sample $NUM_SAMPLE # 3:4 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x480p_3_4 \ - --num-frames 16 --image-size 1108 832 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 738 554 --num-sample $NUM_SAMPLE # 1:2 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x480p_1_2 \ - --num-frames 16 --image-size 1358 600 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 452 904 --num-sample $NUM_SAMPLE # 2:1 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x480p_2_1 \ - --num-frames 16 --image-size 600 1358 + --num-frames 16 --image-size 904 452 --num-sample $NUM_SAMPLE -# 32x480p +# == 32x480p == +# 1:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x480p_1_1 \ + --num-frames 32 --image-size 640 640 --num-sample $NUM_SAMPLE +# 16:9 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x480p_16_9 \ + --num-frames 32 --image-size 480 854 --num-sample $NUM_SAMPLE +# 9:16 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x480p_9_16 \ + --num-frames 32 --image-size 854 480 --num-sample $NUM_SAMPLE +# 4:3 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x480p_4_3 \ + --num-frames 32 --image-size 554 738 --num-sample $NUM_SAMPLE +# 3:4 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x480p_3_4 \ + --num-frames 32 --image-size 738 554 --num-sample $NUM_SAMPLE +# 1:2 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x480p_1_2 \ + --num-frames 32 --image-size 452 904 --num-sample $NUM_SAMPLE +# 2:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x480p_2_1 \ + --num-frames 32 --image-size 904 452 --num-sample $NUM_SAMPLE -# 64x480p +# == 64x480p == +# 1:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x480p_1_1 \ + --num-frames 64 --image-size 640 640 --num-sample $NUM_SAMPLE +# 16:9 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x480p_16_9 \ + --num-frames 64 --image-size 480 854 --num-sample $NUM_SAMPLE +# 9:16 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x480p_9_16 \ + --num-frames 64 --image-size 854 480 --num-sample $NUM_SAMPLE +# 4:3 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x480p_4_3 \ + --num-frames 64 --image-size 554 738 --num-sample $NUM_SAMPLE +# 3:4 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x480p_3_4 \ + --num-frames 64 --image-size 738 554 --num-sample $NUM_SAMPLE +# 1:2 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x480p_1_2 \ + --num-frames 64 --image-size 452 904 --num-sample $NUM_SAMPLE +# 2:1 +eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 64x480p_2_1 \ + --num-frames 64 --image-size 904 452 --num-sample $NUM_SAMPLE - -# 16x720p +# == 16x720p == # 1:1 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x720p_1_1 \ - --num-frames 16 --image-size 960 960 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 960 960 --num-sample $NUM_SAMPLE # 16:9 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x720p_16_9 \ - --num-frames 16 --image-size 720 1280 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 720 1280 --num-sample $NUM_SAMPLE # 9:16 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x720p_9_16 \ - --num-frames 16 --image-size 1280 720 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 1280 720 --num-sample $NUM_SAMPLE # 4:3 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x720p_4_3 \ - --num-frames 16 --image-size 832 1108 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 832 1108 --num-sample $NUM_SAMPLE # 3:4 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x720p_3_4 \ - --num-frames 16 --image-size 1108 832 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 1108 832 --num-sample $NUM_SAMPLE # 1:2 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x720p_1_2 \ - --num-frames 16 --image-size 1358 600 --num-samples $NUM_SAMPLE + --num-frames 16 --image-size 1358 600 --num-sample $NUM_SAMPLE # 2:1 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 16x720p_2_1 \ --num-frames 16 --image-size 600 1358 -# 32x720p +# == 32x720p == # 1:1 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x720p_1_1 \ - --num-frames 32 --image-size 960 960 --num-samples $NUM_SAMPLE + --num-frames 32 --image-size 960 960 --num-sample $NUM_SAMPLE # 16:9 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x720p_16_9 \ - --num-frames 32 --image-size 720 1280 --num-samples $NUM_SAMPLE + --num-frames 32 --image-size 720 1280 --num-sample $NUM_SAMPLE # 9:16 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x720p_9_16 \ - --num-frames 32 --image-size 1280 720 --num-samples $NUM_SAMPLE + --num-frames 32 --image-size 1280 720 --num-sample $NUM_SAMPLE # 4:3 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x720p_4_3 \ - --num-frames 32 --image-size 832 1108 --num-samples $NUM_SAMPLE + --num-frames 32 --image-size 832 1108 --num-sample $NUM_SAMPLE # 3:4 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x720p_3_4 \ - --num-frames 32 --image-size 1108 832 --num-samples $NUM_SAMPLE + --num-frames 32 --image-size 1108 832 --num-sample $NUM_SAMPLE # 1:2 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x720p_1_2 \ - --num-frames 32 --image-size 1358 600 --num-samples $NUM_SAMPLE + --num-frames 32 --image-size 1358 600 --num-sample $NUM_SAMPLE # 2:1 eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --sample-name 32x720p_2_1 \ --num-frames 32 --image-size 600 1358 diff --git a/eval/sample.sh b/eval/sample.sh index 303723c..7c4386d 100644 --- a/eval/sample.sh +++ b/eval/sample.sh @@ -210,49 +210,49 @@ function run_vbenck_i2v_b() { eval $CMD_REF --ckpt-path $CKPT --save-dir ${OUTPUT}_vbench_i2v --prompt-as-path --num-sample 5 \ --prompt-path assets/texts/VBench/all_i2v.txt \ --start-index 140 --end-index 280 \ - --image-size 256 256 + --num-frames $VBENCH_I2V_FRAMES --image-size $VBENCH_I2V_H $VBENCH_I2V_W --batch-size $VBENCH_BS } function run_vbenck_i2v_c() { eval $CMD_REF --ckpt-path $CKPT --save-dir ${OUTPUT}_vbench_i2v --prompt-as-path --num-sample 5 \ --prompt-path assets/texts/VBench/all_i2v.txt \ --start-index 280 --end-index 420 \ - --image-size 256 256 + --num-frames $VBENCH_I2V_FRAMES --image-size $VBENCH_I2V_H $VBENCH_I2V_W --batch-size $VBENCH_BS } function run_vbenck_i2v_d() { eval $CMD_REF --ckpt-path $CKPT --save-dir ${OUTPUT}_vbench_i2v --prompt-as-path --num-sample 5 \ --prompt-path assets/texts/VBench/all_i2v.txt \ --start-index 420 --end-index 560 \ - --image-size 256 256 + --num-frames $VBENCH_I2V_FRAMES --image-size $VBENCH_I2V_H $VBENCH_I2V_W --batch-size $VBENCH_BS } function run_vbenck_i2v_e() { eval $CMD_REF --ckpt-path $CKPT --save-dir ${OUTPUT}_vbench_i2v --prompt-as-path --num-sample 5 \ --prompt-path assets/texts/VBench/all_i2v.txt \ --start-index 560 --end-index 700 \ - --image-size 256 256 + --num-frames $VBENCH_I2V_FRAMES --image-size $VBENCH_I2V_H $VBENCH_I2V_W --batch-size $VBENCH_BS } function run_vbenck_i2v_f() { eval $CMD_REF --ckpt-path $CKPT --save-dir ${OUTPUT}_vbench_i2v --prompt-as-path --num-sample 5 \ --prompt-path assets/texts/VBench/all_i2v.txt \ --start-index 700 --end-index 840 \ - --image-size 256 256 + --num-frames $VBENCH_I2V_FRAMES --image-size $VBENCH_I2V_H $VBENCH_I2V_W --batch-size $VBENCH_BS } function run_vbenck_i2v_g() { eval $CMD_REF --ckpt-path $CKPT --save-dir ${OUTPUT}_vbench_i2v --prompt-as-path --num-sample 5 \ --prompt-path assets/texts/VBench/all_i2v.txt \ --start-index 840 --end-index 980 \ - --image-size 256 256 + --num-frames $VBENCH_I2V_FRAMES --image-size $VBENCH_I2V_H $VBENCH_I2V_W --batch-size $VBENCH_BS } function run_vbenck_i2v_h() { eval $CMD_REF --ckpt-path $CKPT --save-dir ${OUTPUT}_vbench_i2v --prompt-as-path --num-sample 5 \ --prompt-path assets/texts/VBench/all_i2v.txt \ --start-index 980 \ - --image-size 256 256 + --num-frames $VBENCH_I2V_FRAMES --image-size $VBENCH_I2V_H $VBENCH_I2V_W --batch-size $VBENCH_BS } ### Main diff --git a/eval/vbench_i2v/vbench2_i2v_full_info.json b/eval/vbench_i2v/vbench2_i2v_full_info.json new file mode 100644 index 0000000..f6d17ff --- /dev/null +++ b/eval/vbench_i2v/vbench2_i2v_full_info.json @@ -0,0 +1,8946 @@ +[ + { + "prompt_en": "a close up of a blue and orange liquid", + "dimension": [ + "i2v_background" + ], + "image_type": "abstract", + "image_name": "a close up of a blue and orange liquid.jpg" + }, + { + "prompt_en": "a close up of a blue and orange liquid, camera pans left", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close up of a blue and orange liquid.jpg" + }, + { + "prompt_en": "a close up of a blue and orange liquid, camera pans right", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close up of a blue and orange liquid.jpg" + }, + { + "prompt_en": "a close up of a blue and orange liquid, camera tilts up", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close up of a blue and orange liquid.jpg" + }, + { + "prompt_en": "a close up of a blue and orange liquid, camera tilts down", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close up of a blue and orange liquid.jpg" + }, + { + "prompt_en": "a close up of a blue and orange liquid, camera zooms in", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close up of a blue and orange liquid.jpg" + }, + { + "prompt_en": "a close up of a blue and orange liquid, camera zooms out", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close up of a blue and orange liquid.jpg" + }, + { + "prompt_en": "a close up of a blue and orange liquid, camera static", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close up of a blue and orange liquid.jpg" + }, + { + "prompt_en": "A black and white abstract video featuring mesmerizing bubbles", + "dimension": [ + "i2v_background" + ], + "image_type": "abstract", + "image_name": "A black and white abstract video featuring mesmerizing bubbles.jpg" + }, + { + "prompt_en": "A black and white abstract video featuring mesmerizing bubbles, camera pans left", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "A black and white abstract video featuring mesmerizing bubbles.jpg" + }, + { + "prompt_en": "A black and white abstract video featuring mesmerizing bubbles, camera pans right", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "A black and white abstract video featuring mesmerizing bubbles.jpg" + }, + { + "prompt_en": "A black and white abstract video featuring mesmerizing bubbles, camera tilts up", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "A black and white abstract video featuring mesmerizing bubbles.jpg" + }, + { + "prompt_en": "A black and white abstract video featuring mesmerizing bubbles, camera tilts down", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "A black and white abstract video featuring mesmerizing bubbles.jpg" + }, + { + "prompt_en": "A black and white abstract video featuring mesmerizing bubbles, camera zooms in", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "A black and white abstract video featuring mesmerizing bubbles.jpg" + }, + { + "prompt_en": "A black and white abstract video featuring mesmerizing bubbles, camera zooms out", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "A black and white abstract video featuring mesmerizing bubbles.jpg" + }, + { + "prompt_en": "A black and white abstract video featuring mesmerizing bubbles, camera static", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "A black and white abstract video featuring mesmerizing bubbles.jpg" + }, + { + "prompt_en": "a blue and white smoke is swirly in the dark", + "dimension": [ + "i2v_background" + ], + "image_type": "abstract", + "image_name": "a blue and white smoke is swirly in the dark.jpg" + }, + { + "prompt_en": "a blue and white smoke is swirly in the dark, camera pans left", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a blue and white smoke is swirly in the dark.jpg" + }, + { + "prompt_en": "a blue and white smoke is swirly in the dark, camera pans right", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a blue and white smoke is swirly in the dark.jpg" + }, + { + "prompt_en": "a blue and white smoke is swirly in the dark, camera tilts up", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a blue and white smoke is swirly in the dark.jpg" + }, + { + "prompt_en": "a blue and white smoke is swirly in the dark, camera tilts down", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a blue and white smoke is swirly in the dark.jpg" + }, + { + "prompt_en": "a blue and white smoke is swirly in the dark, camera zooms in", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a blue and white smoke is swirly in the dark.jpg" + }, + { + "prompt_en": "a blue and white smoke is swirly in the dark, camera zooms out", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a blue and white smoke is swirly in the dark.jpg" + }, + { + "prompt_en": "a blue and white smoke is swirly in the dark, camera static", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a blue and white smoke is swirly in the dark.jpg" + }, + { + "prompt_en": "a close-up view of a sea fan in the water", + "dimension": [ + "i2v_background" + ], + "image_type": "abstract", + "image_name": "a close-up view of a sea fan in the water.jpg" + }, + { + "prompt_en": "a close-up view of a sea fan in the water, camera pans left", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close-up view of a sea fan in the water.jpg" + }, + { + "prompt_en": "a close-up view of a sea fan in the water, camera pans right", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close-up view of a sea fan in the water.jpg" + }, + { + "prompt_en": "a close-up view of a sea fan in the water, camera tilts up", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close-up view of a sea fan in the water.jpg" + }, + { + "prompt_en": "a close-up view of a sea fan in the water, camera tilts down", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close-up view of a sea fan in the water.jpg" + }, + { + "prompt_en": "a close-up view of a sea fan in the water, camera zooms in", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close-up view of a sea fan in the water.jpg" + }, + { + "prompt_en": "a close-up view of a sea fan in the water, camera zooms out", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close-up view of a sea fan in the water.jpg" + }, + { + "prompt_en": "a close-up view of a sea fan in the water, camera static", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a close-up view of a sea fan in the water.jpg" + }, + { + "prompt_en": "a visually captivating abstract video, rich in color, set against a dramatic black background", + "dimension": [ + "i2v_background" + ], + "image_type": "abstract", + "image_name": "a visually captivating abstract video, rich in color, set against a dramatic black background.jpg" + }, + { + "prompt_en": "a visually captivating abstract video, rich in color, set against a dramatic black background, camera pans left", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a visually captivating abstract video, rich in color, set against a dramatic black background.jpg" + }, + { + "prompt_en": "a visually captivating abstract video, rich in color, set against a dramatic black background, camera pans right", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a visually captivating abstract video, rich in color, set against a dramatic black background.jpg" + }, + { + "prompt_en": "a visually captivating abstract video, rich in color, set against a dramatic black background, camera tilts up", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a visually captivating abstract video, rich in color, set against a dramatic black background.jpg" + }, + { + "prompt_en": "a visually captivating abstract video, rich in color, set against a dramatic black background, camera tilts down", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a visually captivating abstract video, rich in color, set against a dramatic black background.jpg" + }, + { + "prompt_en": "a visually captivating abstract video, rich in color, set against a dramatic black background, camera zooms in", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a visually captivating abstract video, rich in color, set against a dramatic black background.jpg" + }, + { + "prompt_en": "a visually captivating abstract video, rich in color, set against a dramatic black background, camera zooms out", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a visually captivating abstract video, rich in color, set against a dramatic black background.jpg" + }, + { + "prompt_en": "a visually captivating abstract video, rich in color, set against a dramatic black background, camera static", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a visually captivating abstract video, rich in color, set against a dramatic black background.jpg" + }, + { + "prompt_en": "a purple and yellow abstract painting with a black background", + "dimension": [ + "i2v_background" + ], + "image_type": "abstract", + "image_name": "a purple and yellow abstract painting with a black background.jpg" + }, + { + "prompt_en": "a purple and yellow abstract painting with a black background, camera pans left", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a purple and yellow abstract painting with a black background.jpg" + }, + { + "prompt_en": "a purple and yellow abstract painting with a black background, camera pans right", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a purple and yellow abstract painting with a black background.jpg" + }, + { + "prompt_en": "a purple and yellow abstract painting with a black background, camera tilts up", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a purple and yellow abstract painting with a black background.jpg" + }, + { + "prompt_en": "a purple and yellow abstract painting with a black background, camera tilts down", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a purple and yellow abstract painting with a black background.jpg" + }, + { + "prompt_en": "a purple and yellow abstract painting with a black background, camera zooms in", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a purple and yellow abstract painting with a black background.jpg" + }, + { + "prompt_en": "a purple and yellow abstract painting with a black background, camera zooms out", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a purple and yellow abstract painting with a black background.jpg" + }, + { + "prompt_en": "a purple and yellow abstract painting with a black background, camera static", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a purple and yellow abstract painting with a black background.jpg" + }, + { + "prompt_en": "a dynamic video of a blurry neon light in the dark, radiating captivating colors", + "dimension": [ + "i2v_background" + ], + "image_type": "abstract", + "image_name": "a dynamic video of a blurry neon light in the dark, radiating captivating colors.jpg" + }, + { + "prompt_en": "a dynamic video of a blurry neon light in the dark, radiating captivating colors, camera pans left", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a dynamic video of a blurry neon light in the dark, radiating captivating colors.jpg" + }, + { + "prompt_en": "a dynamic video of a blurry neon light in the dark, radiating captivating colors, camera pans right", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a dynamic video of a blurry neon light in the dark, radiating captivating colors.jpg" + }, + { + "prompt_en": "a dynamic video of a blurry neon light in the dark, radiating captivating colors, camera tilts up", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a dynamic video of a blurry neon light in the dark, radiating captivating colors.jpg" + }, + { + "prompt_en": "a dynamic video of a blurry neon light in the dark, radiating captivating colors, camera tilts down", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a dynamic video of a blurry neon light in the dark, radiating captivating colors.jpg" + }, + { + "prompt_en": "a dynamic video of a blurry neon light in the dark, radiating captivating colors, camera zooms in", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a dynamic video of a blurry neon light in the dark, radiating captivating colors.jpg" + }, + { + "prompt_en": "a dynamic video of a blurry neon light in the dark, radiating captivating colors, camera zooms out", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a dynamic video of a blurry neon light in the dark, radiating captivating colors.jpg" + }, + { + "prompt_en": "a dynamic video of a blurry neon light in the dark, radiating captivating colors, camera static", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a dynamic video of a blurry neon light in the dark, radiating captivating colors.jpg" + }, + { + "prompt_en": "a view of a star trail in the night sky", + "dimension": [ + "i2v_background" + ], + "image_type": "abstract", + "image_name": "a view of a star trail in the night sky.jpg" + }, + { + "prompt_en": "a view of a star trail in the night sky, camera pans left", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a view of a star trail in the night sky.jpg" + }, + { + "prompt_en": "a view of a star trail in the night sky, camera pans right", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a view of a star trail in the night sky.jpg" + }, + { + "prompt_en": "a view of a star trail in the night sky, camera tilts up", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a view of a star trail in the night sky.jpg" + }, + { + "prompt_en": "a view of a star trail in the night sky, camera tilts down", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a view of a star trail in the night sky.jpg" + }, + { + "prompt_en": "a view of a star trail in the night sky, camera zooms in", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a view of a star trail in the night sky.jpg" + }, + { + "prompt_en": "a view of a star trail in the night sky, camera zooms out", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a view of a star trail in the night sky.jpg" + }, + { + "prompt_en": "a view of a star trail in the night sky, camera static", + "dimension": [ + "camera_motion" + ], + "image_type": "abstract", + "image_name": "a view of a star trail in the night sky.jpg" + }, + { + "prompt_en": "an aerial view of a small town on the edge of the ocean", + "dimension": [ + "i2v_background" + ], + "image_type": "architecture", + "image_name": "an aerial view of a small town on the edge of the ocean.jpg" + }, + { + "prompt_en": "an aerial view of a small town on the edge of the ocean, camera pans left", + "dimension": [ + "camera_motion" + ], + "image_type": "architecture", + "image_name": "an aerial view of a small town on the edge of the ocean.jpg" + }, + { + "prompt_en": "an aerial view of a small town on the edge of the ocean, camera pans right", + "dimension": [ + "camera_motion" + ], + "image_type": "architecture", + "image_name": "an aerial view of a small town on the edge of the ocean.jpg" + }, + { + "prompt_en": "an aerial view of a small town on the edge of the ocean, camera tilts up", + "dimension": [ + "camera_motion" + ], + "image_type": "architecture", + "image_name": "an aerial view of a small town on the edge of the ocean.jpg" + }, + { + "prompt_en": "an aerial view of a small town on the edge of the ocean, camera tilts down", + "dimension": [ + "camera_motion" + ], + "image_type": "architecture", + "image_name": "an aerial view of a small town on the edge of the ocean.jpg" + }, + { + "prompt_en": "an aerial view of a small town on the edge of the ocean, camera zooms in", + "dimension": [ + "camera_motion" + ], + "image_type": "architecture", + "image_name": "an aerial view of a small town on the edge of the ocean.jpg" + }, + { + "prompt_en": "an aerial view of a small town on the edge of the ocean, camera zooms out", + "dimension": [ + "camera_motion" + ], + "image_type": "architecture", + "image_name": "an aerial view of a small town on the edge of the ocean.jpg" + }, + { + "prompt_en": "an aerial view of a small town on the edge of the ocean, camera static", + "dimension": [ + "camera_motion" + ], + "image_type": "architecture", + "image_name": "an aerial view of a small town on the edge of the ocean.jpg" + }, + { + "prompt_en": "Colorful buildings on the seaside cliffs", + "dimension": [ + "i2v_background" + ], + "image_type": "architecture", + "image_name": "Colorful buildings on the seaside cliffs.jpg" + }, + { + "prompt_en": "Colorful buildings on the seaside cliffs, camera pans left", + "dimension": [ + "camera_motion" + ], + "image_type": "architecture", + "image_name": "Colorful buildings on the seaside cliffs.jpg" + }, + { + "prompt_en": "Colorful buildings on the seaside cliffs, camera pans right", + "dimension": [ + "camera_motion" + ], + "image_type": "architecture", + "image_name": "Colorful buildings on the seaside cliffs.jpg" + }, + { + "prompt_en": 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"prompt_en": "two swans swimming on a lake in the fog, camera zooms in", + "dimension": [ + "camera_motion" + ], + "image_type": "scenery", + "image_name": "two swans swimming on a lake in the fog.jpg" + }, + { + "prompt_en": "two swans swimming on a lake in the fog, camera zooms out", + "dimension": [ + "camera_motion" + ], + "image_type": "scenery", + "image_name": "two swans swimming on a lake in the fog.jpg" + }, + { + "prompt_en": "two swans swimming on a lake in the fog, camera static", + "dimension": [ + "camera_motion" + ], + "image_type": "scenery", + "image_name": "two swans swimming on a lake in the fog.jpg" + }, + { + "prompt_en": "the sun is shining through the trees near a waterfall", + "dimension": [ + "i2v_background" + ], + "image_type": "scenery", + "image_name": "the sun is shining through the trees near a waterfall.jpg" + }, + { + "prompt_en": "the sun is shining through the trees near a waterfall, camera pans left", + "dimension": [ + "camera_motion" + ], + 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"prompt_en": "a motorcycle driving down a road", + "dimension": [ + "i2v_subject" + ], + "image_type": "transportation", + "image_name": "a motorcycle driving down a road.jpg" + }, + { + "prompt_en": "a blue train traveling through a lush green area", + "dimension": [ + "i2v_subject" + ], + "image_type": "transportation", + "image_name": "a blue train traveling through a lush green area.jpg" + }, + { + "prompt_en": "a white car is swiftly driving on a dirt road near a bush, kicking up dust", + "dimension": [ + "i2v_subject" + ], + "image_type": "transportation", + "image_name": "a white car is swiftly driving on a dirt road near a bush, kicking up dust.jpg" + }, + { + "prompt_en": "a large cargo ship sailing in the water", + "dimension": [ + "i2v_subject" + ], + "image_type": "transportation", + "image_name": "a large cargo ship sailing in the water.jpg" + }, + { + "prompt_en": "the red Alfa sports car is speeding down the road", + "dimension": [ + "i2v_subject" + ], + "image_type": 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"dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "an old man standing in the middle of a field holding a bunch of plants.jpg" + }, + { + "prompt_en": "a man standing on a boat with a net", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a man standing on a boat with a net.jpg" + }, + { + "prompt_en": "a woman in a hat is putting salt into a basket", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman in a hat is putting salt into a basket.jpg" + }, + { + "prompt_en": "a young girl smelling a pink flower", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a young girl smelling a pink flower.jpg" + }, + { + "prompt_en": "a young boy leaning on a wooden pole", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a young boy leaning on a wooden pole.jpg" + }, + { + "prompt_en": "a man in a hat sitting in 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"dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a person riding a motorcycle down a road.jpg" + }, + { + "prompt_en": "a man standing on top of a mountain with a backpack", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a man standing on top of a mountain with a backpack.jpg" + }, + { + "prompt_en": "a man with a skull face paint smoking a cigar and holding a guitar", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a man with a skull face paint smoking a cigar and holding a guitar.jpg" + }, + { + "prompt_en": "a man in sunglasses laying on a wooden bench", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a man in sunglasses laying on a wooden bench.jpg" + }, + { + "prompt_en": "an older woman sitting in a room with a cigarette in her hand", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "an older woman sitting in a room with a cigarette in her hand.jpg" + }, + { + "prompt_en": "a man sitting on the ground playing a musical instrument", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a man sitting on the ground playing a musical instrument.jpg" + }, + { + "prompt_en": "a person riding a horse in a polo match", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a person riding a horse in a polo match.jpg" + }, + { + "prompt_en": "a woman in a kimono holding an umbrella", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman in a kimono holding an umbrella.jpg" + }, + { + "prompt_en": "a person riding a dirt bike", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a person riding a dirt bike.jpg" + }, + { + "prompt_en": "a person riding an atv on a dirt track", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a person riding an atv on a dirt track.jpg" + }, + { + "prompt_en": "a person riding a wave on a surfboard", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a person riding a wave on a surfboard.jpg" + }, + { + "prompt_en": "a woman in a wetsuit is swimming in the ocean", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman in a wetsuit is swimming in the ocean.jpg" + }, + { + "prompt_en": "a man snorkling in the ocean", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a man snorkling in the ocean.jpg" + }, + { + "prompt_en": "a beautiful woman in a blue sari posing in front of a wall", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a beautiful woman in a blue sari posing in front of a wall.jpg" + }, + { + "prompt_en": "a woman wearing a shawl in front of a mountain", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman wearing a shawl in front of a mountain.jpg" + }, + { + "prompt_en": "a woman is making bread in an oven", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman is making bread in an oven.jpg" + }, + { + "prompt_en": "a woman smiles while holding a yellow flower", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman smiles while holding a yellow flower.jpg" + }, + { + "prompt_en": "A young boy is lifting a bundle of dry grass wrapped in waterproof fabric over his head", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "A young boy is lifting a bundle of dry grass wrapped in waterproof fabric over his head.jpg" + }, + { + "prompt_en": "two people performing a sword fight in front of a forest", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "two people performing a sword fight in front of a forest.jpg" + }, + { + "prompt_en": "a woman in a colorful shirt is cooking food", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman in a colorful shirt is cooking food.jpg" + }, + { + "prompt_en": "an older woman is drinking a bottle of water", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "an older woman is drinking a bottle of water.jpg" + }, + { + "prompt_en": "a smiling woman sitting at a table with food and drinks", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a smiling woman sitting at a table with food and drinks.jpg" + }, + { + "prompt_en": "a woman wearing a hijab reading a book on the beach", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman wearing a hijab reading a book on the beach.jpg" + }, + { + "prompt_en": "a woman wearing a headscarf is reaching for an olive tree", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman wearing a headscarf is reaching for an olive tree.jpg" + }, + { + "prompt_en": "a woman in a white dress jumping in the air in a field of pink flowers", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman in a white dress jumping in the air in a field of pink flowers.jpg" + }, + { + "prompt_en": "a woman wearing a conical hat sits on a boat", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman wearing a conical hat sits on a boat.jpg" + }, + { + "prompt_en": "an older woman sitting in front of an old building", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "an older woman sitting in front of an old building.jpg" + }, + { + "prompt_en": "a woman is praying in front of a buddhist temple", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman is praying in front of a buddhist temple.jpg" + }, + { + "prompt_en": "a woman with green hair smiling for the camera", + "dimension": [ + "i2v_subject" + ], + "image_type": "single-human", + "image_name": "a woman with green hair smiling for the camera.jpg" + }, + { + "prompt_en": "A group of people in a yellow raft is rowing through turbulent waters", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "A group of people in a yellow raft is rowing through turbulent waters.jpg" + }, + { + "prompt_en": "a man carrying a woman on his back in a field", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a man carrying a woman on his back in a field.jpg" + }, + { + "prompt_en": "an indian police officer talking to an old woman", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "an indian police officer talking to an old woman.jpg" + }, + { + "prompt_en": "two people scuba diving in the ocean", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "two people scuba diving in the ocean.jpg" + }, + { + "prompt_en": "A man and woman dressed as sugar skulls in a field of flowers, sharing a loving gaze with each other", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "A man and woman dressed as sugar skulls in a field of flowers, sharing a loving gaze with each other.jpg" + }, + { + "prompt_en": "a group of people watching a cow race", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a group of people watching a cow race.jpg" + }, + { + "prompt_en": "a man and a child riding bumper cars in an amusement park", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a man and a child riding bumper cars in an amusement park.jpg" + }, + { + "prompt_en": "a group of motorcyclists racing on a dirt track", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a group of motorcyclists racing on a dirt track.jpg" + }, + { + "prompt_en": "a man and a woman are boxing in a boxing ring", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a man and a woman are boxing in a boxing ring.jpg" + }, + { + "prompt_en": "a man holding a baby in his arms", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a man holding a baby in his arms.jpg" + }, + { + "prompt_en": "a man and a woman sitting on a bench playing instruments", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a man and a woman sitting on a bench playing instruments.jpg" + }, + { + "prompt_en": "two men are standing next to each other with a bicycle", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "two men are standing next to each other with a bicycle.jpg" + }, + { + "prompt_en": "a man and a boy sitting on a beach near the ocean", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a man and a boy sitting on a beach near the ocean.jpg" + }, + { + "prompt_en": "two men in white clothing standing next to each other", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "two men in white clothing standing next to each other.jpg" + }, + { + "prompt_en": "a group of men riding horses in a dusty arena", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a group of men riding horses in a dusty arena.jpg" + }, + { + "prompt_en": "a soccer player in a yellow and black shirt is chasing a soccer ball", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a soccer player in a yellow and black shirt is chasing a soccer ball.jpg" + }, + { + "prompt_en": "a group of women sitting on the steps of a building", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a group of women sitting on the steps of a building.jpg" + }, + { + "prompt_en": "a group of people gathered around a red checkered blanket", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a group of people gathered around a red checkered blanket.jpg" + }, + { + "prompt_en": "a group of people in orange jumpsuits running along a river", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a group of people in orange jumpsuits running along a river.jpg" + }, + { + "prompt_en": "a woman walking down a sidewalk with a bag", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a woman walking down a sidewalk with a bag.jpg" + }, + { + "prompt_en": "a busy street with cars and people on motorcycles", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a busy street with cars and people on motorcycles.jpg" + }, + { + "prompt_en": "a man in a mask is walking through a crowd of people", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a man in a mask is walking through a crowd of people.jpg" + }, + { + "prompt_en": "a man and a woman walking under an umbrella next to a brick wall", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a man and a woman walking under an umbrella next to a brick wall.jpg" + }, + { + "prompt_en": "a group of people riding bikes down a street", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "a group of people riding bikes down a street.jpg" + }, + { + "prompt_en": "An old person is holding a cup on the street, and people around are curiously looking at him", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "An old person is holding a cup on the street, and people around are curiously looking at him.jpg" + }, + { + "prompt_en": "two young girls playing with leaves in the woods", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "two young girls playing with leaves in the woods.jpg" + }, + { + "prompt_en": "One person is riding on the back of a horse led by another person", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "One person is riding on the back of a horse led by another person.jpg" + }, + { + "prompt_en": "an older woman and a young girl are knitting together", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "an older woman and a young girl are knitting together.jpg" + }, + { + "prompt_en": "three geishas walking down the street in traditional clothing", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "three geishas walking down the street in traditional clothing.jpg" + }, + { + "prompt_en": "two men riding bikes down a road near a forest", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "two men riding bikes down a road near a forest.jpg" + }, + { + "prompt_en": "two women carrying bowls on their heads", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "two women carrying bowls on their heads.jpg" + }, + { + "prompt_en": "two women eating pizza at a restaurant", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "two women eating pizza at a restaurant.jpg" + }, + { + "prompt_en": "two young women studying in a library", + "dimension": [ + "i2v_subject" + ], + "image_type": "multiple-human", + "image_name": "two young women studying in a library.jpg" + }, + { + "prompt_en": "pink water lilies in a pond with leaves", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "pink water lilies in a pond with leaves.jpg" + }, + { + "prompt_en": "a group of succulents in a rock garden", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "a group of succulents in a rock garden.jpg" + }, + { + "prompt_en": "a close up view of a bunch of snowdrop flowers", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "a close up view of a bunch of snowdrop flowers.jpg" + }, + { + "prompt_en": "a close up of leaves with water droplets on them", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "a close up of leaves with water droplets on them.jpg" + }, + { + "prompt_en": "a close-up of a sea anemone in the water", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "a close-up of a sea anemone in the water.jpg" + }, + { + "prompt_en": "a plant with water droplets on it", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "a plant with water droplets on it.jpg" + }, + { + "prompt_en": "a group of cactus plants in the desert", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "a group of cactus plants in the desert.jpg" + }, + { + "prompt_en": "a close-up view of a plant with spiky leaves", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "a close-up view of a plant with spiky leaves.jpg" + }, + { + "prompt_en": "A budding and blossoming flower bud seedling", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "A budding and blossoming flower bud seedling.jpg" + }, + { + "prompt_en": "a field of orange flowers near the ocean'", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "a field of orange flowers near the ocean'.jpg" + }, + { + "prompt_en": "a close-up view of a bunch of pink flowers", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "a close-up view of a bunch of pink flowers.jpg" + }, + { + "prompt_en": "pink water lilies in a pond", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "pink water lilies in a pond.jpg" + }, + { + "prompt_en": "reeds blowing in the wind against a cloudy sky", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "reeds blowing in the wind against a cloudy sky.jpg" + }, + { + "prompt_en": "two tall cacti in the middle of the desert", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "two tall cacti in the middle of the desert.jpg" + }, + { + "prompt_en": "a sea anemone on a coral reef", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "a sea anemone on a coral reef.jpg" + }, + { + "prompt_en": "a dandelion blowing in the wind", + "dimension": [ + "i2v_subject" + ], + "image_type": "plant", + "image_name": "a dandelion blowing in the wind.jpg" + }, + { + "prompt_en": "A boiling pot cooking vegetables", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "A boiling pot cooking vegetables.jpg" + }, + { + "prompt_en": "a woman stirring food in a pan on the stove", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a woman stirring food in a pan on the stove.jpg" + }, + { + "prompt_en": "two eggs are fried in a frying pan on the stove", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "two eggs are fried in a frying pan on the stove.jpg" + }, + { + "prompt_en": "fried onion rings in a basket", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "fried onion rings in a basket.jpg" + }, + { + "prompt_en": "a pot is sitting on top of a campfire", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a pot is sitting on top of a campfire.jpg" + }, + { + "prompt_en": "a chef is preparing a dish with mushrooms on a wooden board", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a chef is preparing a dish with mushrooms on a wooden board.jpg" + }, + { + "prompt_en": "a hand holding a slice of pizza", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a hand holding a slice of pizza.jpg" + }, + { + "prompt_en": "A person is using tongs to pick up meat from a plate", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "A person is using tongs to pick up meat from a plate.jpg" + }, + { + "prompt_en": "The meat is picked up from the grill with tongs", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "The meat is picked up from the grill with tongs.jpg" + }, + { + "prompt_en": "A person is whisking eggs, and the egg whites and yolks are gently streaming out", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "A person is whisking eggs, and the egg whites and yolks are gently streaming out.jpg" + }, + { + "prompt_en": "a person is putting sauce on a burger", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a person is putting sauce on a burger.jpg" + }, + { + "prompt_en": "A person is making dumplings", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "A person is making dumplings.jpg" + }, + { + "prompt_en": "a pan filled with fried food", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a pan filled with fried food.jpg" + }, + { + "prompt_en": "Chopsticks are slowly picking up the buns from the plastic container", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "Chopsticks are slowly picking up the buns from the plastic container.jpg" + }, + { + "prompt_en": "a basket of french fries in a fryer", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a basket of french fries in a fryer.jpg" + }, + { + "prompt_en": "a table with lobsters and drinks on it", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a table with lobsters and drinks on it.jpg" + }, + { + "prompt_en": "a person pouring coffee into a pot on a stove", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a person pouring coffee into a pot on a stove.jpg" + }, + { + "prompt_en": "a kettle is sitting on top of a campfire", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a kettle is sitting on top of a campfire.jpg" + }, + { + "prompt_en": "Chopsticks are picking up noodles from the bowl", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "Chopsticks are picking up noodles from the bowl.jpg" + }, + { + "prompt_en": "a person is cooking eggs on an outdoor grill", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a person is cooking eggs on an outdoor grill.jpg" + }, + { + "prompt_en": "a person is cooking food in a wok on a stove", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a person is cooking food in a wok on a stove.jpg" + }, + { + "prompt_en": "a person is holding up a burger with his hands", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a person is holding up a burger with his hands.jpg" + }, + { + "prompt_en": "A person is pouring water into a teacup", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "A person is pouring water into a teacup.jpg" + }, + { + "prompt_en": "a person pouring seasoning into a pot of food", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a person pouring seasoning into a pot of food.jpg" + }, + { + "prompt_en": "a person holding a taco in their hand", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a person holding a taco in their hand.jpg" + }, + { + "prompt_en": "a person slicing salmon on a cutting board", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a person slicing salmon on a cutting board.jpg" + }, + { + "prompt_en": "a bunch of food is cooking on a grill over an open fire", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a bunch of food is cooking on a grill over an open fire.jpg" + }, + { + "prompt_en": "a close up of a piece of sushi on chopsticks", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a close up of a piece of sushi on chopsticks.jpg" + }, + { + "prompt_en": "a group of pots on a stove with flames in the background", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a group of pots on a stove with flames in the background.jpg" + }, + { + "prompt_en": "a person cooking vegetables in a pan on a stove", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a person cooking vegetables in a pan on a stove.jpg" + }, + { + "prompt_en": "a large pot of soup filled with vegetables and meat", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a large pot of soup filled with vegetables and meat.jpg" + }, + { + "prompt_en": "a person holding chopsticks over a bowl of food", + "dimension": [ + "i2v_subject" + ], + "image_type": "food", + "image_name": "a person holding chopsticks over a bowl of food.jpg" + } +] diff --git a/opensora/models/layers/blocks.py b/opensora/models/layers/blocks.py index 616fd62..55d874a 100644 --- a/opensora/models/layers/blocks.py +++ b/opensora/models/layers/blocks.py @@ -171,6 +171,7 @@ class Attention(nn.Module): qkv = qkv.view(qkv_shape).permute(2, 0, 3, 1, 4) q, k, v = qkv.unbind(0) + # WARNING: this may be a bug if self.rope: q = self.rotary_emb(q) k = self.rotary_emb(k) diff --git a/opensora/schedulers/iddpm/gaussian_diffusion.py b/opensora/schedulers/iddpm/gaussian_diffusion.py index 55292b2..5aa20c7 100644 --- a/opensora/schedulers/iddpm/gaussian_diffusion.py +++ b/opensora/schedulers/iddpm/gaussian_diffusion.py @@ -408,7 +408,7 @@ class GaussianDiffusion: if mask is not None: if mask.shape[0] != x.shape[0]: mask = mask.repeat(2, 1) # HACK - mask_t = (mask * len(self.betas) - 1).to(torch.int) + mask_t = (mask * len(self.betas)).to(torch.int) # x0: copy unchanged x values # x_noise: add noise to x values diff --git a/scripts/inference-long.py b/scripts/inference-long.py index 7f2f4d5..eec19cf 100644 --- a/scripts/inference-long.py +++ b/scripts/inference-long.py @@ -232,7 +232,6 @@ def main(): batch_prompts_raw = prompts[i : i + cfg.batch_size] batch_prompts_raw, additional_infos = extract_json_from_prompts(batch_prompts_raw) batch_prompts_loops = process_prompts(batch_prompts_raw, cfg.loop) - video_clips = [] # handle the last batch if len(batch_prompts_raw) < cfg.batch_size and cfg.multi_resolution == "STDiT2": model_args["height"] = model_args["height"][: len(batch_prompts_raw)] @@ -250,37 +249,39 @@ def main(): refs_x = collect_references_batch(cfg.reference_path[i : i + cfg.batch_size], vae, cfg.image_size) mask_strategy = cfg.mask_strategy[i : i + cfg.batch_size] - # 4.3. long video generation - for loop_i in range(cfg.loop): - # 4.4 sample in hidden space - batch_prompts = [prompt[loop_i] for prompt in batch_prompts_loops] - z = torch.randn(len(batch_prompts), vae.out_channels, *latent_size, device=device, dtype=dtype) + # 4.3. diffusion sampling + old_sample_idx = sample_idx + # generate multiple samples for each prompt + for k in range(cfg.num_sample): + sample_idx = old_sample_idx + video_clips = [] - # 4.5. apply mask strategy - masks = None - # if cfg.reference_path is not None: - if loop_i > 0: - ref_x = vae.encode(video_clips[-1]) - for j, refs in enumerate(refs_x): - if refs is None: - refs_x[j] = [ref_x[j]] - else: - refs.append(ref_x[j]) - if mask_strategy[j] is None: - mask_strategy[j] = "" - else: - mask_strategy[j] += ";" - mask_strategy[ - j - ] += f"{loop_i},{len(refs)-1},-{cfg.condition_frame_length},0,{cfg.condition_frame_length}" - masks = apply_mask_strategy(z, refs_x, mask_strategy, loop_i) + # 4.4. long video generation + for loop_i in range(cfg.loop): + # 4.4 sample in hidden space + batch_prompts = [prompt[loop_i] for prompt in batch_prompts_loops] - # 4.6. diffusion sampling - old_sample_idx = sample_idx - # generate multiple samples for each prompt - for k in range(cfg.num_sample): - sample_idx = old_sample_idx + # 4.5. apply mask strategy + masks = None + # if cfg.reference_path is not None: + if loop_i > 0: + ref_x = vae.encode(video_clips[-1]) + for j, refs in enumerate(refs_x): + if refs is None: + refs_x[j] = [ref_x[j]] + else: + refs.append(ref_x[j]) + if mask_strategy[j] is None: + mask_strategy[j] = "" + else: + mask_strategy[j] += ";" + mask_strategy[ + j + ] += f"{loop_i},{len(refs)-1},-{cfg.condition_frame_length},0,{cfg.condition_frame_length}" + # sampling + z = torch.randn(len(batch_prompts), vae.out_channels, *latent_size, device=device, dtype=dtype) + masks = apply_mask_strategy(z, refs_x, mask_strategy, loop_i) samples = scheduler.sample( model, text_encoder, diff --git a/scripts/inference.py b/scripts/inference.py index ff9f118..7a83ead 100644 --- a/scripts/inference.py +++ b/scripts/inference.py @@ -114,7 +114,6 @@ def main(): # 4.2 sample in hidden space batch_prompts_raw = prompts[i : i + cfg.batch_size] batch_prompts = [text_preprocessing(prompt) for prompt in batch_prompts_raw] - z = torch.randn(len(batch_prompts), vae.out_channels, *latent_size, device=device, dtype=dtype) # handle the last batch if len(batch_prompts_raw) < cfg.batch_size and cfg.multi_resolution == "STDiT2": model_args["height"] = model_args["height"][: len(batch_prompts_raw)] @@ -145,6 +144,7 @@ def main(): continue # sampling + z = torch.randn(len(batch_prompts), vae.out_channels, *latent_size, device=device, dtype=dtype) samples = scheduler.sample( model, text_encoder,