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Configuration error
Configuration error
| model: | |
| target: sgm.models.diffusion.DiffusionEngine | |
| params: | |
| scale_factor: 0.18215 | |
| disable_first_stage_autocast: True | |
| ckpt_path: checkpoints/svd_xt_image_decoder.safetensors | |
| denoiser_config: | |
| target: sgm.modules.diffusionmodules.denoiser.Denoiser | |
| params: | |
| scaling_config: | |
| target: sgm.modules.diffusionmodules.denoiser_scaling.VScalingWithEDMcNoise | |
| network_config: | |
| target: sgm.modules.diffusionmodules.video_model.VideoUNet | |
| params: | |
| adm_in_channels: 768 | |
| num_classes: sequential | |
| use_checkpoint: True | |
| in_channels: 8 | |
| out_channels: 4 | |
| model_channels: 320 | |
| attention_resolutions: [4, 2, 1] | |
| num_res_blocks: 2 | |
| channel_mult: [1, 2, 4, 4] | |
| num_head_channels: 64 | |
| use_linear_in_transformer: True | |
| transformer_depth: 1 | |
| context_dim: 1024 | |
| spatial_transformer_attn_type: softmax-xformers | |
| extra_ff_mix_layer: True | |
| use_spatial_context: True | |
| merge_strategy: learned_with_images | |
| video_kernel_size: [3, 1, 1] | |
| conditioner_config: | |
| target: sgm.modules.GeneralConditioner | |
| params: | |
| emb_models: | |
| - is_trainable: False | |
| input_key: cond_frames_without_noise | |
| target: sgm.modules.encoders.modules.FrozenOpenCLIPImagePredictionEmbedder | |
| params: | |
| n_cond_frames: 1 | |
| n_copies: 1 | |
| open_clip_embedding_config: | |
| target: sgm.modules.encoders.modules.FrozenOpenCLIPImageEmbedder | |
| params: | |
| freeze: True | |
| - input_key: fps_id | |
| is_trainable: False | |
| target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | |
| params: | |
| outdim: 256 | |
| - input_key: motion_bucket_id | |
| is_trainable: False | |
| target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | |
| params: | |
| outdim: 256 | |
| - input_key: cond_frames | |
| is_trainable: False | |
| target: sgm.modules.encoders.modules.VideoPredictionEmbedderWithEncoder | |
| params: | |
| disable_encoder_autocast: True | |
| n_cond_frames: 1 | |
| n_copies: 1 | |
| is_ae: True | |
| encoder_config: | |
| target: sgm.models.autoencoder.AutoencoderKLModeOnly | |
| params: | |
| embed_dim: 4 | |
| monitor: val/rec_loss | |
| ddconfig: | |
| attn_type: vanilla-xformers | |
| 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 | |
| lossconfig: | |
| target: torch.nn.Identity | |
| - input_key: cond_aug | |
| is_trainable: False | |
| target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | |
| params: | |
| outdim: 256 | |
| first_stage_config: | |
| target: sgm.models.autoencoder.AutoencoderKL | |
| params: | |
| embed_dim: 4 | |
| monitor: val/rec_loss | |
| ddconfig: | |
| attn_type: vanilla-xformers | |
| 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 | |
| lossconfig: | |
| target: torch.nn.Identity | |
| sampler_config: | |
| target: sgm.modules.diffusionmodules.sampling.EulerEDMSampler | |
| params: | |
| discretization_config: | |
| target: sgm.modules.diffusionmodules.discretizer.EDMDiscretization | |
| params: | |
| sigma_max: 700.0 | |
| guider_config: | |
| target: sgm.modules.diffusionmodules.guiders.LinearPredictionGuider | |
| params: | |
| max_scale: 3.0 | |
| min_scale: 1.5 |