Instructions to use d-wang26/wd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use d-wang26/wd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("d-wang26/wd", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Download diffusers/docs/source/en/api/loaders/single_file.md from d-wang26/wd: direct link, hf CLI and curl.
- Browser
- Download file 1.78 kB
-
https://huggingface.co/d-wang26/wd/resolve/main/diffusers/docs/source/en/api/loaders/single_file.md
- Command line
-
hf download hf://d-wang26/wd/diffusers/docs/source/en/api/loaders/single_file.md
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curl -L -o single_file.md https://huggingface.co/d-wang26/wd/resolve/main/diffusers/docs/source/en/api/loaders/single_file.md
1.78 kB
Single files
Diffusers supports loading pretrained pipeline (or model) weights stored in a single file, such as a ckpt or safetensors file. These single file types are typically produced from community trained models. There are three classes for loading single file weights:
- [
FromSingleFileMixin] supports loading pretrained pipeline weights stored in a single file, which can either be ackptorsafetensorsfile. - [
FromOriginalVAEMixin] supports loading a pretrained [AutoencoderKL] from pretrained ControlNet weights stored in a single file, which can either be ackptorsafetensorsfile. - [
FromOriginalControlnetMixin] supports loading pretrained ControlNet weights stored in a single file, which can either be ackptorsafetensorsfile.
To learn more about how to load single file weights, see the Load different Stable Diffusion formats loading guide.
FromSingleFileMixin
[[autodoc]] loaders.single_file.FromSingleFileMixin
FromOriginalVAEMixin
[[autodoc]] loaders.autoencoder.FromOriginalVAEMixin
FromOriginalControlnetMixin
[[autodoc]] loaders.controlnet.FromOriginalControlNetMixin