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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 subfolder name, library corresponds to the name of the library to load the class from, and class corresponds to the class name) Copied { |
"_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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