AlexWortega
commited on
Commit
•
07e8aad
1
Parent(s):
0e0153f
Upload KandinskyV22Pipeline
Browse files- model_index.json +16 -0
- movq/config.json +34 -0
- movq/diffusion_pytorch_model.safetensors +3 -0
- scheduler/scheduler_config.json +19 -0
- unet/config.json +67 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
model_index.json
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{
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"_class_name": "KandinskyV22Pipeline",
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"_diffusers_version": "0.21.4",
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"movq": [
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"diffusers",
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"VQModel"
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],
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"scheduler": [
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"diffusers",
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"DDPMScheduler"
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],
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"unet": [
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"diffusers",
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"UNet2DConditionModel"
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]
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}
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movq/config.json
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{
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"_class_name": "VQModel",
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"_diffusers_version": "0.21.4",
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"_name_or_path": "decoder/movq",
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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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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"AttnDownEncoderBlock2D"
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],
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"in_channels": 3,
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"latent_channels": 4,
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"layers_per_block": 2,
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"norm_num_groups": 32,
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"norm_type": "spatial",
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"num_vq_embeddings": 16384,
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"out_channels": 3,
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"sample_size": 32,
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"scaling_factor": 0.18215,
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"up_block_types": [
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"AttnUpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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],
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"vq_embed_dim": 4
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}
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movq/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:efb05eb02828bd06b46d4f0fd3bc05fd8c6c0e7803067b20d58c91900e5a820a
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size 135714846
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scheduler/scheduler_config.json
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{
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"_class_name": "DDPMScheduler",
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"_diffusers_version": "0.21.4",
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"beta_end": 0.012,
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"beta_schedule": "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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"dynamic_thresholding_ratio": 0.995,
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"sample_max_value": 1.0,
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"set_alpha_to_one": false,
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"steps_offset": 1,
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"thresholding": false,
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"timestep_spacing": "leading",
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"trained_betas": null,
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"variance_type": "fixed_small"
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}
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unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.21.4",
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"_name_or_path": "decoder/unet",
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"act_fn": "silu",
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"addition_embed_type": "image",
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": null,
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"attention_head_dim": 64,
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"attention_type": "default",
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"block_out_channels": [
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384,
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768,
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1152,
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1536
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],
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"center_input_sample": false,
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"class_embed_type": null,
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 768,
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"cross_attention_norm": null,
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"down_block_types": [
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"ResnetDownsampleBlock2D",
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"SimpleCrossAttnDownBlock2D",
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"SimpleCrossAttnDownBlock2D",
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"SimpleCrossAttnDownBlock2D"
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],
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"downsample_padding": 1,
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"dropout": 0.0,
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"dual_cross_attention": false,
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"encoder_hid_dim": 1280,
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"encoder_hid_dim_type": "image_proj",
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 4,
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"layers_per_block": 3,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DSimpleCrossAttn",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 8,
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"projection_class_embeddings_input_dim": null,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "scale_shift",
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"sample_size": 64,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"transformer_layers_per_block": 1,
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"up_block_types": [
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"SimpleCrossAttnUpBlock2D",
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"SimpleCrossAttnUpBlock2D",
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"SimpleCrossAttnUpBlock2D",
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"ResnetUpsampleBlock2D"
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],
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"upcast_attention": false,
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"use_linear_projection": false
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}
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:50ff8c7545f98097ff8a21795bf9ccac81d682855235064aea237a09e5ec4b97
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size 2506194800
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