Delete Open Sora Plan Modeling

2024-10-28 17:20:12 +00:00
parent d8489bf368
commit 4c3a83a0b3
37 changed files with 8 additions and 4439 deletions
@@ -1,21 +0,0 @@
-# REAL_DATASET_DIR=/remote-home1/dataset/OpenMMLab___Kinetics-400/raw/Kinetics-400/videos_val/
-REAL_DATASET_DIR=data/dummyVid/video
-EXP_NAME=decoder
-SAMPLE_RATE=3
-NUM_FRAMES=33
-RESOLUTION=256
-SUBSET_SIZE=50
-METRIC=ssim
-
-python opensora/models/causalvideovae/eval/eval_common_metric.py \
-    --batch_size 1 \
-    --real_video_dir ${REAL_DATASET_DIR} \
-    --generated_video_dir /remote-home1/lzj/dataset/gen/${EXP_NAME}_sr${SAMPLE_RATE}_nf${NUM_FRAMES}_res${RESOLUTION}_subset${SUBSET_SIZE} \
-    --device cuda:0 \
-    --sample_fps 3 \
-    --sample_rate ${SAMPLE_RATE} \
-    --num_frames ${NUM_FRAMES} \
-    --resolution ${RESOLUTION} \
-    --subset_size ${SUBSET_SIZE} \
-    --crop_size ${RESOLUTION} \
-    --metric ${METRIC}
@@ -1,24 +0,0 @@
-export CUDA_VISIBLE_DEVICES=0
-REAL_DATASET_DIR=valid/
-EXP_NAME=decoder
-SAMPLE_RATE=1
-NUM_FRAMES=33
-RESOLUTION=512
-SUBSET_SIZE=1
-CKPT=/storage/lcm/Causal-Video-VAE/results/488dim8
-
-python opensora/models/causalvideovae/sample/rec_video_vae.py \
-    --batch_size 1 \
-    --real_video_dir ${REAL_DATASET_DIR} \
-    --generated_video_dir valid_gen/${EXP_NAME}_sr${SAMPLE_RATE}_nf${NUM_FRAMES}_res${RESOLUTION}_subset${SUBSET_SIZE} \
-    --device cuda \
-    --sample_fps 24 \
-    --sample_rate ${SAMPLE_RATE} \
-    --num_frames ${NUM_FRAMES} \
-    --resolution ${RESOLUTION} \
-    --subset_size ${SUBSET_SIZE} \
-    --crop_size ${RESOLUTION} \
-    --num_workers 8 \
-    --ckpt ${CKPT} \
-    --output_origin \
-    --enable_tiling
@@ -1,8 +0,0 @@
-CUDA_VISIBLE_DEVICES=0 python examples/rec_image.py \
-    --ae_path "/storage/dataset/test140k" \
-    --image_path /storage/dataset/image/anytext3m/ocr_data/Art/images/gt_5544.jpg \
-    --rec_path rec.jpg \
-    --device cuda \
-    --short_size 512 \
-    --ae CausalVAEModel_4x8x8 \
-    --enable_tiling
@@ -1,11 +0,0 @@
-CUDA_VISIBLE_DEVICES=0 python opensora/sample/vae_reconstruct_video.py \
-    --ae_path "data/Open-Sora-Plan-v1.2.0/vae" \
-    --video_path data/dummyVid/for_vae_reconstruct.mp4 \
-    --rec_path rec.mp4 \
-    --device cuda \
-    --sample_rate 1 \
-    --num_frames 65 \
-    --height 480 \
-    --width 640 \
-    --ae CausalVAEModel_4x8x8 \
-    --enable_tiling --tile_overlap_factor 0.125 --save_memory
@@ -1,18 +0,0 @@
-CUDA_VISIBLE_DEVICES=0 python opensora/sample/sample_t2v.py \
-    --model_path outputs/debug/checkpoint-250/model \
-    --num_frames 29 \
-    --height 480 \
-    --width 640 \
-    --cache_dir "data/.cache" \
-    --text_encoder_name google/mt5-xxl \
-    --text_prompt data/inference_prompt/overfit.txt \
-    --ae CausalVAEModel_D4_4x8x8 \
-    --ae_path "data/Open-Sora-Plan-v1.2.0/vae" \
-    --save_img_path "data/inference_prompt" \
-    --fps 24 \
-    --guidance_scale 7.5 \
-    --num_sampling_steps 100 \
-    --enable_tiling \
-    --max_sequence_length 512 \
-    --sample_method EulerAncestralDiscrete \
-    --model_type "dit"
@@ -1,21 +0,0 @@
-
-torchrun --nnodes=1 --nproc_per_node 8  --master_port 29503 \
-    -m opensora.sample.sample_t2v_ddp \
-    --model_path /path/to/checkpoint-xxx/model_ema \
-    --num_frames 93 \
-    --height 720 \
-    --width 1280 \
-    --cache_dir "./cache_dir" \
-    --text_encoder_name google/mt5-xxl \
-    --text_prompt examples/prompt_list_0.txt \
-    --ae CausalVAEModel_D4_4x8x8 \
-    --ae_path "/path/to/causalvideovae" \
-    --save_img_path "./sample_93x480p_cfg7.5_step100_eulera" \
-    --fps 24 \
-    --guidance_scale 7.5 \
-    --num_sampling_steps 100 \
-    --enable_tiling \
-    --tile_overlap_factor 0.125 \
-    --max_sequence_length 512 \
-    --sample_method EulerAncestralDiscrete \
-    --model_type "dit"
@@ -1,21 +0,0 @@
-
-torchrun --nnodes=1 --nproc_per_node 8  --master_port 29503 \
-    -m opensora.sample.sample_t2v_sp \
-    --model_path /path/to/checkpoint-xxx/model_ema \
-    --num_frames 93 \
-    --height 720 \
-    --width 1280 \
-    --cache_dir "./cache_dir" \
-    --text_encoder_name google/mt5-xxl \
-    --text_prompt examples/prompt_list_0.txt \
-    --ae CausalVAEModel_D4_4x8x8 \
-    --ae_path "/path/to/causalvideovae" \
-    --save_img_path "./sample_video_test" \
-    --fps 24 \
-    --guidance_scale 7.5 \
-    --num_sampling_steps 100 \
-    --enable_tiling \
-    --tile_overlap_factor 0.125 \
-    --max_sequence_length 512 \
-    --sample_method EulerAncestralDiscrete \
-    --model_type "dit" 
@@ -0,0 +1,8 @@
+from huggingface_hub import HfApi
+api = HfApi()
+
+api.upload_folder(
+    folder_path="data/dummySynthetic",
+    repo_id="Stealths-Video/Mochi-Synthetic-Data",
+    repo_type="dataset",
+)