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"StableDiffusionSafetyChecker" |
], |
"scheduler": [ |
"diffusers", |
"PNDMScheduler" |
], |
"text_encoder": [ |
"transformers", |
"CLIPTextModel" |
], |
"tokenizer": [ |
"transformers", |
"CLIPTokenizer" |
], |
"unet": [ |
"diffusers", |
"UNet2DConditionModel" |
], |
"vae": [ |
"diffusers", |
"AutoencoderKL" |
] |
} Compare the components of the pipeline instance to the runwayml/stable-diffusion-v1-5 folder structure, and you’ll see there is a separate folder for each of the components in the repository: Copied . |
├── feature_extractor |
│ └── preprocessor_config.json |
├── model_index.json |
├── safety_checker |
│ ├── config.json |
| ├── model.fp16.safetensors |
│ ├── model.safetensors |
│ ├── pytorch_model.bin |
| └── pytorch_model.fp16.bin |
├── scheduler |
│ └── scheduler_config.json |
├── text_encoder |
│ ├── config.json |
| ├── model.fp16.safetensors |
│ ├── model.safetensors |
│ |── pytorch_model.bin |
| └── pytorch_model.fp16.bin |
├── tokenizer |
│ ├── merges.txt |
│ ├── special_tokens_map.json |
│ ├── tokenizer_config.json |
│ └── vocab.json |
├── unet |
│ ├── config.json |
│ ├── diffusion_pytorch_model.bin |
| |── diffusion_pytorch_model.fp16.bin |
│ |── diffusion_pytorch_model.f16.safetensors |
│ |── diffusion_pytorch_model.non_ema.bin |
│ |── diffusion_pytorch_model.non_ema.safetensors |
│ └── diffusion_pytorch_model.safetensors |
|── vae |
. ├── config.json |
. ├── diffusion_pytorch_model.bin |
├── diffusion_pytorch_model.fp16.bin |
├── diffusion_pytorch_model.fp16.safetensors |
└── diffusion_pytorch_model.safetensors You can access each of the components of the pipeline as an attribute to view its configuration: Copied pipeline.tokenizer |
CLIPTokenizer( |
name_or_path="/root/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/39593d5650112b4cc580433f6b0435385882d819/tokenizer", |
vocab_size=49408, |
model_max_length=77, |
is_fast=False, |
padding_side="right", |
truncation_side="right", |
special_tokens={ |
"bos_token": AddedToken("<|startoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=True), |
"eos_token": AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=True), |
"unk_token": AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=True), |
"pad_token": "<|endoftext|>", |
}, |
clean_up_tokenization_spaces=True |
) Every pipeline expects a model_index.json file that tells the DiffusionPipeline: which pipeline class to load from _class_name which version of 🧨 Diffusers was used to create the model in _diffusers_version what components from which library are stored in the subfolders (name corresponds to the component and subfold... |
"_class_name": "StableDiffusionPipeline", |
"_diffusers_version": "0.6.0", |
"feature_extractor": [ |
"transformers", |
"CLIPImageProcessor" |
], |
"safety_checker": [ |
"stable_diffusion", |
"StableDiffusionSafetyChecker" |
], |
"scheduler": [ |
"diffusers", |
"PNDMScheduler" |
], |
"text_encoder": [ |
"transformers", |
"CLIPTextModel" |
], |
"tokenizer": [ |
"transformers", |
"CLIPTokenizer" |
], |
"unet": [ |
"diffusers", |
"UNet2DConditionModel" |
], |
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