Adding `diffusers` weights of this model
Browse filesThis PR adds fp32 and fp16 weights in PyTorch and safetensors format to lunachan/wd15
- model_index.json +33 -0
- scheduler/scheduler_config.json +26 -0
- text_encoder/config.json +25 -0
- text_encoder/model.fp16.safetensors +3 -0
- text_encoder/model.safetensors +3 -0
- text_encoder/pytorch_model.bin +3 -0
- text_encoder/pytorch_model.fp16.bin +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +33 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +67 -0
- unet/diffusion_pytorch_model.bin +3 -0
- unet/diffusion_pytorch_model.fp16.bin +3 -0
- unet/diffusion_pytorch_model.fp16.safetensors +3 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +30 -0
- vae/diffusion_pytorch_model.bin +3 -0
- vae/diffusion_pytorch_model.fp16.bin +3 -0
- vae/diffusion_pytorch_model.fp16.safetensors +3 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
model_index.json
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.18.0.dev0",
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"feature_extractor": [
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null,
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null
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],
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"requires_safety_checker": false,
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"safety_checker": [
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null,
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null
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],
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"scheduler": [
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"diffusers",
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"DPMSolverMultistepScheduler"
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],
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"text_encoder": [
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"transformers",
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"CLIPTextModel"
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],
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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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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"vae": [
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"diffusers",
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"AutoencoderKL"
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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": "DPMSolverMultistepScheduler",
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"_diffusers_version": "0.18.0.dev0",
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"algorithm_type": "dpmsolver++",
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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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"dynamic_thresholding_ratio": 0.995,
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"lambda_min_clipped": -Infinity,
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"lower_order_final": true,
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"num_train_timesteps": 1000,
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"prediction_type": "v_prediction",
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"rescale_betas_zero_snr": false,
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"sample_max_value": 1.0,
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"set_alpha_to_one": false,
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"solver_order": 2,
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"solver_type": "midpoint",
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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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"use_karras_sigmas": false,
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"variance_type": null
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}
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text_encoder/config.json
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{
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"_name_or_path": "stabilityai/stable-diffusion-2",
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_size": 1024,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 16,
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"num_hidden_layers": 23,
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"pad_token_id": 1,
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"projection_dim": 512,
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"torch_dtype": "float16",
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"transformers_version": "4.30.2",
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"vocab_size": 49408
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}
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text_encoder/model.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0dd26d9f1607590afa2e62018933e0481f99102b90bf6b381552b603d542391
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size 680821096
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e80386019ae1101aa0f841c2f0e62d0353fb583e4398691ccaec518cfd748240
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size 1361597016
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text_encoder/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:545bc8a2d5ca571a6124897a261b0705e926c84cc1b17e61b1de7f01c62866fd
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size 1361674657
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text_encoder/pytorch_model.fp16.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:90882fca6f8706dbc1e217bedc94e1cdd9593196befc665da8ba070ed1875329
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size 680900852
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tokenizer/merges.txt
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The diff for this file is too large to render.
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tokenizer/special_tokens_map.json
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{
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"bos_token": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "!",
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer/tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": {
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"__type": "AddedToken",
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"clean_up_tokenization_spaces": true,
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"do_lower_case": true,
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"eos_token": {
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"__type": "AddedToken",
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"errors": "replace",
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"model_max_length": 77,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "CLIPTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer/vocab.json
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The diff for this file is too large to render.
See raw diff
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unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.18.0.dev0",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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"attention_head_dim": [
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5,
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10,
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20,
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20
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],
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"block_out_channels": [
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320,
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640,
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1280,
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1280
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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": 1024,
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"cross_attention_norm": null,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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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": 2,
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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": "UNetMidBlock2DCrossAttn",
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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": 4,
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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": "default",
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"sample_size": 96,
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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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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D"
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],
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"upcast_attention": null,
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"use_linear_projection": true
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}
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unet/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ca6080d9a4bbe5b576ca1f857de65190c99712e6b97a9ba638019896e960a11
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size 3463925093
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unet/diffusion_pytorch_model.fp16.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:146cdee0d075b365d5974bd57bafdc70fa0dc7f15a5d42648e3bd5f129e2c71f
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size 1732107093
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unet/diffusion_pytorch_model.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bcd5bb382643de7eaf93bf89f7f1fa605058c4a1c5e1707906ff26123615547f
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size 1731904736
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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 sha256:9d478c7f837e86d6777379d998726c5132f40a52bb302117511181fc073551f0
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size 3463726504
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.18.0.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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512,
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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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"DownEncoderBlock2D"
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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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"out_channels": 3,
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"sample_size": 768,
|
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"scaling_factor": 0.18215,
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"up_block_types": [
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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]
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}
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vae/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:171bc68795e9a94dd11899fd9b9eba8eea5cd1bd7c912a27c0821bb177684e9f
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size 334712113
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vae/diffusion_pytorch_model.fp16.bin
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