Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Why inference generate a video 3 times? #149

Open
lxrswdd opened this issue Sep 16, 2024 · 0 comments
Open

Why inference generate a video 3 times? #149

lxrswdd opened this issue Sep 16, 2024 · 0 comments

Comments

@lxrswdd
Copy link

lxrswdd commented Sep 16, 2024

I have a single text and image prompt in the TXT file.
My configuration is default as downloaded from Github.
image

Is it anything to do with 'gpus_per_machine': 3?


[2024-09-16 13:24:54,206] INFO: {'__name__': 'Config: VideoLDM Decoder', 'mean': [0.5, 0.5, 0.5], 'std': [0.5, 0.5, 0.5], 'max_words': 1000, 'num_workers': 6, 'prefetch_factor': 2, 'resolution': [1280, 704], 'vit_out_dim': 1024, 'vit_resolution': [224, 224], 'depth_clamp': 10.0, 'misc_size': 384, 'depth_std': 20.0, 'frame_lens': [16, 16, 16, 16, 16, 32, 32, 32], 'sample_fps': [8, 8, 16, 16, 16, 8, 16, 16], 'vid_dataset': {'type': 'VideoDataset', 'data_list': ['data/vid_list.txt'], 'max_words': 1000, 'resolution': [1280, 704], 'data_dir_list': ['data/videos/'], 'vit_resolution': [224, 224], 'get_first_frame': True}, 'img_dataset': {'type': 'ImageDataset', 'data_list': ['data/img_list.txt'], 'max_words': 1000, 'resolution': [1280, 704], 'data_dir_list': ['data/images'], 'vit_resolution': [224, 224]}, 'batch_sizes': {'1': 32, '4': 8, '8': 4, '16': 2, '32': 1}, 'Diffusion': {'type': 'DiffusionDDIM', 'schedule': 'cosine', 'schedule_param': {'num_timesteps': 1000, 'cosine_s': 0.008, 'zero_terminal_snr': True}, 'mean_type': 'v', 'loss_type': 'mse', 'var_type': 'fixed_small', 'rescale_timesteps': False, 'noise_strength': 0.1, 'ddim_timesteps': 50}, 'ddim_timesteps': 50, 'use_div_loss': False, 'p_zero': 0.0, 'guide_scale': 9.0, 'vit_mean': [0.48145466, 0.4578275, 0.40821073], 'vit_std': [0.26862954, 0.26130258, 0.27577711], 'sketch_mean': [0.485, 0.456, 0.406], 'sketch_std': [0.229, 0.224, 0.225], 'hist_sigma': 10.0, 'scale_factor': 0.18215, 'use_checkpoint': True, 'use_sharded_ddp': False, 'use_fsdp': False, 'use_fp16': True, 'temporal_attention': True, 'UNet': {'type': 'UNetSD_I2VGen', 'in_dim': 4, 'dim': 320, 'y_dim': 1024, 'context_dim': 1024, 'out_dim': 4, 'dim_mult': [1, 2, 4, 4], 'num_heads': 8, 'head_dim': 64, 'num_res_blocks': 2, 'attn_scales': [1.0, 0.5, 0.25], 'dropout': 0.1, 'temporal_attention': True, 'temporal_attn_times': 1, 'use_checkpoint': True, 'use_fps_condition': False, 'use_sim_mask': False, 'upper_len': 128, 'concat_dim': 4, 'default_fps': 8}, 'guidances': [], 'auto_encoder': {'type': 'AutoencoderKL', 'ddconfig': {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0, 'video_kernel_size': [3, 1, 1]}, 'embed_dim': 4, 'pretrained': 'models/v2-1_512-ema-pruned.ckpt'}, 'embedder': {'type': 'FrozenOpenCLIPTextVisualEmbedder', 'layer': 'penultimate', 'pretrained': 'models/open_clip_pytorch_model.bin', 'vit_resolution': [224, 224]}, 'ema_decay': 0.9999, 'num_steps': 1000000, 'lr': 3e-05, 'weight_decay': 0.0, 'betas': [0.9, 0.999], 'eps': 1e-08, 'chunk_size': 2, 'decoder_bs': 2, 'alpha': 0.7, 'save_ckp_interval': 50, 'warmup_steps': 10, 'decay_mode': 'cosine', 'use_ema': True, 'load_from': None, 'Pretrain': {'type': 'pretrain_specific_strategies', 'fix_weight': False, 'grad_scale': 0.5, 'resume_checkpoint': 'models/i2vgen_xl_00854500.pth', 'sd_keys_path': 'models/stable_diffusion_image_key_temporal_attention_x1.json'}, 'viz_interval': 50, 'visual_train': {'type': 'VisualTrainTextImageToVideo', 'partial_keys': [['y', 'image', 'local_image', 'fps']], 'use_offset_noise': True, 'guide_scale': 9.0}, 'visual_inference': {'type': 'VisualGeneratedVideos'}, 'inference_list_path': '', 'log_interval': 1, 'log_dir': 'workspace/experiments/test_list_for_i2vgen', 'reward_type': 'HPSv2', 'temporal_reward_type': [], 'data_align_method': None, 'data_align_coef': 10, 'segments': 8, 'selection_method': 'fixed_first', 'exponential_TSN': True, 'lambda_TAR': 1.0, 'reward_normalization': False, 'positive_reward': False, 'partial_timestep': None, 'ddim_steps': [981, 961, 941, 921, 901, 881, 861, 841, 821, 801, 781, 761, 741, 721, 701, 681, 661, 641, 621, 601, 581, 561, 541, 521, 501, 481, 461, 441, 421, 401, 381, 361, 341, 321, 301, 281, 261, 241, 221, 201, 181, 161, 141, 121, 101, 81, 61, 41, 21, 1], 'motion_rep': None, 'low_penal_threshold': 0.05, 'reward_weights': {'reward': 1, 'reg': 1}, 'temp_dir': 'workspace/temp_dir', 'adv_clip_max': 5, 'ST_reward_weights': {'spatial': 1, 'temporal': 1}, 'seed': 8888, 'negative_prompt': 'Distorted, discontinuous, Ugly, blurry, low resolution, motionless, static, disfigured, disconnected limbs, Ugly faces, incomplete arms', 'ENABLE': True, 'DATASET': 'webvid10m', 'TASK_TYPE': 'inference_i2vgen_entrance', 'max_frames': 16, 'target_fps': 16, 'scale': 8, 'round': 1, 'batch_size': 1, 'use_zero_infer': True, 'vldm_cfg': 'configs/i2vgen_xl_train.yaml', 'test_list_path': 'data/test_list_for_i2vgen.txt', 'test_model': 'models/i2vgen_xl_00854500.pth', 'cfg_file': 'configs/i2vgen_xl_infer.yaml', 'init_method': 'tcp://localhost:9999', 'debug': False, 'opts': [], 'pmi_rank': 0, 'pmi_world_size': 1, 'gpus_per_machine': 3, 'world_size': 3, 'noise_strength': 0.1, 'gpu': 1, 'rank': 1, 'log_file': 'workspace/experiments/test_list_for_i2vgen/log_01.txt'}
[2024-09-16 13:24:54,206] INFO: {'__name__': 'Config: VideoLDM Decoder', 'mean': [0.5, 0.5, 0.5], 'std': [0.5, 0.5, 0.5], 'max_words': 1000, 'num_workers': 6, 'prefetch_factor': 2, 'resolution': [1280, 704], 'vit_out_dim': 1024, 'vit_resolution': [224, 224], 'depth_clamp': 10.0, 'misc_size': 384, 'depth_std': 20.0, 'frame_lens': [16, 16, 16, 16, 16, 32, 32, 32], 'sample_fps': [8, 8, 16, 16, 16, 8, 16, 16], 'vid_dataset': {'type': 'VideoDataset', 'data_list': ['data/vid_list.txt'], 'max_words': 1000, 'resolution': [1280, 704], 'data_dir_list': ['data/videos/'], 'vit_resolution': [224, 224], 'get_first_frame': True}, 'img_dataset': {'type': 'ImageDataset', 'data_list': ['data/img_list.txt'], 'max_words': 1000, 'resolution': [1280, 704], 'data_dir_list': ['data/images'], 'vit_resolution': [224, 224]}, 'batch_sizes': {'1': 32, '4': 8, '8': 4, '16': 2, '32': 1}, 'Diffusion': {'type': 'DiffusionDDIM', 'schedule': 'cosine', 'schedule_param': {'num_timesteps': 1000, 'cosine_s': 0.008, 'zero_terminal_snr': True}, 'mean_type': 'v', 'loss_type': 'mse', 'var_type': 'fixed_small', 'rescale_timesteps': False, 'noise_strength': 0.1, 'ddim_timesteps': 50}, 'ddim_timesteps': 50, 'use_div_loss': False, 'p_zero': 0.0, 'guide_scale': 9.0, 'vit_mean': [0.48145466, 0.4578275, 0.40821073], 'vit_std': [0.26862954, 0.26130258, 0.27577711], 'sketch_mean': [0.485, 0.456, 0.406], 'sketch_std': [0.229, 0.224, 0.225], 'hist_sigma': 10.0, 'scale_factor': 0.18215, 'use_checkpoint': True, 'use_sharded_ddp': False, 'use_fsdp': False, 'use_fp16': True, 'temporal_attention': True, 'UNet': {'type': 'UNetSD_I2VGen', 'in_dim': 4, 'dim': 320, 'y_dim': 1024, 'context_dim': 1024, 'out_dim': 4, 'dim_mult': [1, 2, 4, 4], 'num_heads': 8, 'head_dim': 64, 'num_res_blocks': 2, 'attn_scales': [1.0, 0.5, 0.25], 'dropout': 0.1, 'temporal_attention': True, 'temporal_attn_times': 1, 'use_checkpoint': True, 'use_fps_condition': False, 'use_sim_mask': False, 'upper_len': 128, 'concat_dim': 4, 'default_fps': 8}, 'guidances': [], 'auto_encoder': {'type': 'AutoencoderKL', 'ddconfig': {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0, 'video_kernel_size': [3, 1, 1]}, 'embed_dim': 4, 'pretrained': 'models/v2-1_512-ema-pruned.ckpt'}, 'embedder': {'type': 'FrozenOpenCLIPTextVisualEmbedder', 'layer': 'penultimate', 'pretrained': 'models/open_clip_pytorch_model.bin', 'vit_resolution': [224, 224]}, 'ema_decay': 0.9999, 'num_steps': 1000000, 'lr': 3e-05, 'weight_decay': 0.0, 'betas': [0.9, 0.999], 'eps': 1e-08, 'chunk_size': 2, 'decoder_bs': 2, 'alpha': 0.7, 'save_ckp_interval': 50, 'warmup_steps': 10, 'decay_mode': 'cosine', 'use_ema': True, 'load_from': None, 'Pretrain': {'type': 'pretrain_specific_strategies', 'fix_weight': False, 'grad_scale': 0.5, 'resume_checkpoint': 'models/i2vgen_xl_00854500.pth', 'sd_keys_path': 'models/stable_diffusion_image_key_temporal_attention_x1.json'}, 'viz_interval': 50, 'visual_train': {'type': 'VisualTrainTextImageToVideo', 'partial_keys': [['y', 'image', 'local_image', 'fps']], 'use_offset_noise': True, 'guide_scale': 9.0}, 'visual_inference': {'type': 'VisualGeneratedVideos'}, 'inference_list_path': '', 'log_interval': 1, 'log_dir': 'workspace/experiments/test_list_for_i2vgen', 'reward_type': 'HPSv2', 'temporal_reward_type': [], 'data_align_method': None, 'data_align_coef': 10, 'segments': 8, 'selection_method': 'fixed_first', 'exponential_TSN': True, 'lambda_TAR': 1.0, 'reward_normalization': False, 'positive_reward': False, 'partial_timestep': None, 'ddim_steps': [981, 961, 941, 921, 901, 881, 861, 841, 821, 801, 781, 761, 741, 721, 701, 681, 661, 641, 621, 601, 581, 561, 541, 521, 501, 481, 461, 441, 421, 401, 381, 361, 341, 321, 301, 281, 261, 241, 221, 201, 181, 161, 141, 121, 101, 81, 61, 41, 21, 1], 'motion_rep': None, 'low_penal_threshold': 0.05, 'reward_weights': {'reward': 1, 'reg': 1}, 'temp_dir': 'workspace/temp_dir', 'adv_clip_max': 5, 'ST_reward_weights': {'spatial': 1, 'temporal': 1}, 'seed': 8888, 'negative_prompt': 'Distorted, discontinuous, Ugly, blurry, low resolution, motionless, static, disfigured, disconnected limbs, Ugly faces, incomplete arms', 'ENABLE': True, 'DATASET': 'webvid10m', 'TASK_TYPE': 'inference_i2vgen_entrance', 'max_frames': 16, 'target_fps': 16, 'scale': 8, 'round': 1, 'batch_size': 1, 'use_zero_infer': True, 'vldm_cfg': 'configs/i2vgen_xl_train.yaml', 'test_list_path': 'data/test_list_for_i2vgen.txt', 'test_model': 'models/i2vgen_xl_00854500.pth', 'cfg_file': 'configs/i2vgen_xl_infer.yaml', 'init_method': 'tcp://localhost:9999', 'debug': False, 'opts': [], 'pmi_rank': 0, 'pmi_world_size': 1, 'gpus_per_machine': 3, 'world_size': 3, 'noise_strength': 0.1, 'gpu': 0, 'rank': 0, 'log_file': 'workspace/experiments/test_list_for_i2vgen/log_00.txt'}
[2024-09-16 13:24:54,206] INFO: Going into it2v_fullid_img_text inference on 1 gpu
[2024-09-16 13:24:54,207] INFO: Going into it2v_fullid_img_text inference on 0 gpu
[2024-09-16 13:24:54,208] INFO: {'__name__': 'Config: VideoLDM Decoder', 'mean': [0.5, 0.5, 0.5], 'std': [0.5, 0.5, 0.5], 'max_words': 1000, 'num_workers': 6, 'prefetch_factor': 2, 'resolution': [1280, 704], 'vit_out_dim': 1024, 'vit_resolution': [224, 224], 'depth_clamp': 10.0, 'misc_size': 384, 'depth_std': 20.0, 'frame_lens': [16, 16, 16, 16, 16, 32, 32, 32], 'sample_fps': [8, 8, 16, 16, 16, 8, 16, 16], 'vid_dataset': {'type': 'VideoDataset', 'data_list': ['data/vid_list.txt'], 'max_words': 1000, 'resolution': [1280, 704], 'data_dir_list': ['data/videos/'], 'vit_resolution': [224, 224], 'get_first_frame': True}, 'img_dataset': {'type': 'ImageDataset', 'data_list': ['data/img_list.txt'], 'max_words': 1000, 'resolution': [1280, 704], 'data_dir_list': ['data/images'], 'vit_resolution': [224, 224]}, 'batch_sizes': {'1': 32, '4': 8, '8': 4, '16': 2, '32': 1}, 'Diffusion': {'type': 'DiffusionDDIM', 'schedule': 'cosine', 'schedule_param': {'num_timesteps': 1000, 'cosine_s': 0.008, 'zero_terminal_snr': True}, 'mean_type': 'v', 'loss_type': 'mse', 'var_type': 'fixed_small', 'rescale_timesteps': False, 'noise_strength': 0.1, 'ddim_timesteps': 50}, 'ddim_timesteps': 50, 'use_div_loss': False, 'p_zero': 0.0, 'guide_scale': 9.0, 'vit_mean': [0.48145466, 0.4578275, 0.40821073], 'vit_std': [0.26862954, 0.26130258, 0.27577711], 'sketch_mean': [0.485, 0.456, 0.406], 'sketch_std': [0.229, 0.224, 0.225], 'hist_sigma': 10.0, 'scale_factor': 0.18215, 'use_checkpoint': True, 'use_sharded_ddp': False, 'use_fsdp': False, 'use_fp16': True, 'temporal_attention': True, 'UNet': {'type': 'UNetSD_I2VGen', 'in_dim': 4, 'dim': 320, 'y_dim': 1024, 'context_dim': 1024, 'out_dim': 4, 'dim_mult': [1, 2, 4, 4], 'num_heads': 8, 'head_dim': 64, 'num_res_blocks': 2, 'attn_scales': [1.0, 0.5, 0.25], 'dropout': 0.1, 'temporal_attention': True, 'temporal_attn_times': 1, 'use_checkpoint': True, 'use_fps_condition': False, 'use_sim_mask': False, 'upper_len': 128, 'concat_dim': 4, 'default_fps': 8}, 'guidances': [], 'auto_encoder': {'type': 'AutoencoderKL', 'ddconfig': {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0, 'video_kernel_size': [3, 1, 1]}, 'embed_dim': 4, 'pretrained': 'models/v2-1_512-ema-pruned.ckpt'}, 'embedder': {'type': 'FrozenOpenCLIPTextVisualEmbedder', 'layer': 'penultimate', 'pretrained': 'models/open_clip_pytorch_model.bin', 'vit_resolution': [224, 224]}, 'ema_decay': 0.9999, 'num_steps': 1000000, 'lr': 3e-05, 'weight_decay': 0.0, 'betas': [0.9, 0.999], 'eps': 1e-08, 'chunk_size': 2, 'decoder_bs': 2, 'alpha': 0.7, 'save_ckp_interval': 50, 'warmup_steps': 10, 'decay_mode': 'cosine', 'use_ema': True, 'load_from': None, 'Pretrain': {'type': 'pretrain_specific_strategies', 'fix_weight': False, 'grad_scale': 0.5, 'resume_checkpoint': 'models/i2vgen_xl_00854500.pth', 'sd_keys_path': 'models/stable_diffusion_image_key_temporal_attention_x1.json'}, 'viz_interval': 50, 'visual_train': {'type': 'VisualTrainTextImageToVideo', 'partial_keys': [['y', 'image', 'local_image', 'fps']], 'use_offset_noise': True, 'guide_scale': 9.0}, 'visual_inference': {'type': 'VisualGeneratedVideos'}, 'inference_list_path': '', 'log_interval': 1, 'log_dir': 'workspace/experiments/test_list_for_i2vgen', 'reward_type': 'HPSv2', 'temporal_reward_type': [], 'data_align_method': None, 'data_align_coef': 10, 'segments': 8, 'selection_method': 'fixed_first', 'exponential_TSN': True, 'lambda_TAR': 1.0, 'reward_normalization': False, 'positive_reward': False, 'partial_timestep': None, 'ddim_steps': [981, 961, 941, 921, 901, 881, 861, 841, 821, 801, 781, 761, 741, 721, 701, 681, 661, 641, 621, 601, 581, 561, 541, 521, 501, 481, 461, 441, 421, 401, 381, 361, 341, 321, 301, 281, 261, 241, 221, 201, 181, 161, 141, 121, 101, 81, 61, 41, 21, 1], 'motion_rep': None, 'low_penal_threshold': 0.05, 'reward_weights': {'reward': 1, 'reg': 1}, 'temp_dir': 'workspace/temp_dir', 'adv_clip_max': 5, 'ST_reward_weights': {'spatial': 1, 'temporal': 1}, 'seed': 8888, 'negative_prompt': 'Distorted, discontinuous, Ugly, blurry, low resolution, motionless, static, disfigured, disconnected limbs, Ugly faces, incomplete arms', 'ENABLE': True, 'DATASET': 'webvid10m', 'TASK_TYPE': 'inference_i2vgen_entrance', 'max_frames': 16, 'target_fps': 16, 'scale': 8, 'round': 1, 'batch_size': 1, 'use_zero_infer': True, 'vldm_cfg': 'configs/i2vgen_xl_train.yaml', 'test_list_path': 'data/test_list_for_i2vgen.txt', 'test_model': 'models/i2vgen_xl_00854500.pth', 'cfg_file': 'configs/i2vgen_xl_infer.yaml', 'init_method': 'tcp://localhost:9999', 'debug': False, 'opts': [], 'pmi_rank': 0, 'pmi_world_size': 1, 'gpus_per_machine': 3, 'world_size': 3, 'noise_strength': 0.1, 'gpu': 2, 'rank': 2, 'log_file': 'workspace/experiments/test_list_for_i2vgen/log_02.txt'}
[2024-09-16 13:24:54,209] INFO: Going into it2v_fullid_img_text inference on 2 gpu
[2024-09-16 13:24:54,237] INFO: Loading ViT-H-14 model config.
[2024-09-16 13:24:54,238] INFO: Loading ViT-H-14 model config.
[2024-09-16 13:24:54,247] INFO: Loading ViT-H-14 model config.
[2024-09-16 13:25:02,048] INFO: Loading pretrained ViT-H-14 weights (models/open_clip_pytorch_model.bin).
[2024-09-16 13:25:02,208] INFO: Loading pretrained ViT-H-14 weights (models/open_clip_pytorch_model.bin).
[2024-09-16 13:25:02,218] INFO: Loading pretrained ViT-H-14 weights (models/open_clip_pytorch_model.bin).
[2024-09-16 13:25:13,304] INFO: Restored from models/v2-1_512-ema-pruned.ckpt
[2024-09-16 13:25:13,529] INFO: Restored from models/v2-1_512-ema-pruned.ckpt
[2024-09-16 13:25:13,579] INFO: Restored from models/v2-1_512-ema-pruned.ckpt
[2024-09-16 13:25:27,219] INFO: Load model from models/i2vgen_xl_00854500.pth with status <All keys matched successfully>
[2024-09-16 13:25:27,337] INFO: Load model from models/i2vgen_xl_00854500.pth with status <All keys matched successfully>
[2024-09-16 13:25:27,771] INFO: Load model from models/i2vgen_xl_00854500.pth with status <All keys matched successfully>
[2024-09-16 13:25:34,727] INFO: There are 1 videos. with 1 times
[2024-09-16 13:25:34,728] INFO: [0]/[1] Begin to sample data/test_images/img_0013.png|||Five goldfish in the style of Chinese painting are swimming ...
[2024-09-16 13:25:34,729] INFO: There are 1 videos. with 1 times
[2024-09-16 13:25:34,729] INFO: [0]/[1] Begin to sample data/test_images/img_0013.png|||Five goldfish in the style of Chinese painting are swimming ...
[2024-09-16 13:25:34,730] INFO: There are 1 videos. with 1 times
[2024-09-16 13:25:34,730] INFO: [0]/[1] Begin to sample data/test_images/img_0013.png|||Five goldfish in the style of Chinese painting are swimming ...
[2024-09-16 13:25:37,776] INFO: GPU Memory used 17.43 GB
[2024-09-16 13:25:37,795] INFO: GPU Memory used 17.43 GB
[2024-09-16 13:25:37,818] INFO: GPU Memory used 17.43 GB
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant