Upload 9 files
Browse files- model_index.json +24 -0
- scheduler/scheduler_config.json +18 -0
- transformer_T2V/config.json +31 -0
- transformer_T2V/diffusion_pytorch_model-00001-of-00003.safetensors +3 -0
- transformer_T2V/diffusion_pytorch_model-00002-of-00003.safetensors +3 -0
- transformer_T2V/diffusion_pytorch_model-00003-of-00003.safetensors +3 -0
- transformer_T2V/diffusion_pytorch_model.safetensors.index.json +0 -0
- vae/config.json +39 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
model_index.json
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{
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"_class_name": "CogVideoXPipeline",
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"_diffusers_version": "0.31.0",
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"scheduler": [
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"diffusers",
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"CogVideoXDDIMScheduler"
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],
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"text_encoder": [
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null,
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],
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"tokenizer": [
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null,
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null
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],
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"transformer": [
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"custom_cogvideox_transformer_3d",
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"CogVideoXTransformer3DModel"
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],
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"vae": [
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null,
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null
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]
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}
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scheduler/scheduler_config.json
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{
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"_class_name": "CogVideoXDDIMScheduler",
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"_diffusers_version": "0.31.0",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"clip_sample": false,
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"clip_sample_range": 1.0,
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"num_train_timesteps": 1000,
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"prediction_type": "v_prediction",
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"rescale_betas_zero_snr": true,
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"sample_max_value": 1.0,
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"set_alpha_to_one": true,
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"snr_shift_scale": 1.0,
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"steps_offset": 0,
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"timestep_spacing": "trailing",
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"trained_betas": null
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}
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transformer_T2V/config.json
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{
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"_class_name": "CogVideoXTransformer3DModel",
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"_diffusers_version": "0.31.0",
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"activation_fn": "gelu-approximate",
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"attention_bias": true,
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"attention_head_dim": 64,
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"dropout": 0.0,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 16,
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"max_text_seq_length": 226,
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"norm_elementwise_affine": true,
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"norm_eps": 1e-05,
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"num_attention_heads": 48,
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"num_layers": 42,
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"out_channels": 16,
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"patch_bias": false,
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"patch_size": 2,
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"patch_size_t": 2,
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"sample_frames": 81,
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"sample_height": 96,
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"sample_width": 170,
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"spatial_interpolation_scale": 1.875,
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"temporal_compression_ratio": 4,
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"temporal_interpolation_scale": 1.0,
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"text_embed_dim": 4096,
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"time_embed_dim": 512,
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"timestep_activation_fn": "silu",
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"use_learned_positional_embeddings": false,
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"use_rotary_positional_embeddings": true
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}
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transformer_T2V/diffusion_pytorch_model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2b2fc9286adfe838c16f7dff83d0952484606731f1c52e2bf4d9f13a8760587
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size 4977695424
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transformer_T2V/diffusion_pytorch_model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fcb0e8acfdbcd482cabc8fba4dc2789f517430d7104ff693fd1d54da75973522
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size 4948039832
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transformer_T2V/diffusion_pytorch_model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6c1af103e253d0b4ad500c17e06b48528f85f30230bd6fa52d3e1e03c88b19d
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size 1215733728
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transformer_T2V/diffusion_pytorch_model.safetensors.index.json
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vae/config.json
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{
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"_class_name": "AutoencoderKLCogVideoX",
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"_diffusers_version": "0.31.0.dev0",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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256,
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256,
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512
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],
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"down_block_types": [
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"CogVideoXDownBlock3D",
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"CogVideoXDownBlock3D",
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"CogVideoXDownBlock3D",
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"CogVideoXDownBlock3D"
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],
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"force_upcast": true,
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"in_channels": 3,
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"latent_channels": 16,
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"latents_mean": null,
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"latents_std": null,
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"layers_per_block": 3,
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"norm_eps": 1e-06,
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"norm_num_groups": 32,
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"out_channels": 3,
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"sample_height": 480,
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"sample_width": 720,
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"scaling_factor": 0.7,
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"shift_factor": null,
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"temporal_compression_ratio": 4,
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"up_block_types": [
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"CogVideoXUpBlock3D",
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"CogVideoXUpBlock3D",
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"CogVideoXUpBlock3D",
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"CogVideoXUpBlock3D"
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],
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"use_post_quant_conv": false,
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"use_quant_conv": false
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}
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vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bd47d57ad948ff80da0af0cb2e4dcdef65073aba59bccfd383ada9a7d1c02024
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size 431221142
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