Upload folder using huggingface_hub
Browse files- model_index.json +8 -11
- scheduler/scheduler_config.json +2 -1
- text_encoder/config.json +2 -1
- text_encoder/model.onnx +3 -0
- tokenizer/special_tokens_map.json +28 -4
- tokenizer/tokenizer_config.json +2 -3
- unet/config.json +3 -1
- vae_decoder/config.json +34 -0
- vae_encoder/config.json +34 -0
model_index.json
CHANGED
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@@ -1,15 +1,20 @@
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{
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"_class_name": "
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"_diffusers_version": "0.
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"feature_extractor": [
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null,
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null
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],
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"force_zeros_for_empty_prompt": true,
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"image_encoder": [
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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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"EulerAncestralDiscreteScheduler"
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"transformers",
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"CLIPTextModel"
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],
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"text_encoder_2": [
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"transformers",
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"CLIPTextModelWithProjection"
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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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"tokenizer_2": [
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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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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "UnfilteredAI/NSFW-gen",
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"feature_extractor": [
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null,
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null
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],
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"image_encoder": [
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null,
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null
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],
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"requires_safety_checker": true,
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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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"EulerAncestralDiscreteScheduler"
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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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scheduler/scheduler_config.json
CHANGED
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{
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"_class_name": "EulerAncestralDiscreteScheduler",
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"_diffusers_version": "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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"interpolation_type": "linear",
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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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"skip_prk_steps": true,
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{
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"_class_name": "EulerAncestralDiscreteScheduler",
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"_diffusers_version": "0.27.2",
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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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"interpolation_type": "linear",
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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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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"skip_prk_steps": true,
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text_encoder/config.json
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{
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"architectures": [
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"CLIPTextModel"
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],
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.
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"vocab_size": 49408
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}
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{
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"_name_or_path": "/root/.cache/huggingface/hub/models--UnfilteredAI--NSFW-gen/snapshots/2755174ccd9ddf41e78aa0c1924a4def8e5f856f/text_encoder",
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"architectures": [
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"CLIPTextModel"
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],
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.38.2",
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"vocab_size": 49408
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}
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text_encoder/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:a86c7f074d847a59bc90f968d54e9978a97d98dbed562e9348229a1767e857f0
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size 492588311
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tokenizer/special_tokens_map.json
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{
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"bos_token":
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}
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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": false,
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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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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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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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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special":
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},
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"49407": {
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"content": "<|endoftext|>",
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special":
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}
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},
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"additional_special_tokens": [],
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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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"tokenizer_file": "/home/user/.cache/huggingface/hub/models--openai--clip-vit-large-patch14/snapshots/32bd64288804d66eefd0ccbe215aa642df71cc41/tokenizer.json",
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"unk_token": "<|endoftext|>"
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}
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"49407": {
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"content": "<|endoftext|>",
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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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": "<|endoftext|>"
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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.
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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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": 128,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/root/.cache/huggingface/hub/models--UnfilteredAI--NSFW-gen/snapshots/2755174ccd9ddf41e78aa0c1924a4def8e5f856f/unet",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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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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"reverse_transformer_layers_per_block": null,
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"sample_size": 128,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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vae_decoder/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/root/.cache/huggingface/hub/models--UnfilteredAI--NSFW-gen/snapshots/2755174ccd9ddf41e78aa0c1924a4def8e5f856f/vae",
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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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"force_upcast": true,
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"in_channels": 3,
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"latent_channels": 4,
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"latents_mean": null,
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"latents_std": null,
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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": 1024,
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"scaling_factor": 0.13025,
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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_encoder/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/root/.cache/huggingface/hub/models--UnfilteredAI--NSFW-gen/snapshots/2755174ccd9ddf41e78aa0c1924a4def8e5f856f/vae",
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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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"force_upcast": true,
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"in_channels": 3,
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"latent_channels": 4,
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"latents_mean": null,
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"latents_std": null,
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"layers_per_block": 2,
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| 24 |
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"norm_num_groups": 32,
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"out_channels": 3,
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"sample_size": 1024,
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"scaling_factor": 0.13025,
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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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