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/examples/research_projects/rdm/README.md from d-wang26/wd: direct link, hf CLI and curl.
- Browser
- Download file 324 Bytes
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https://huggingface.co/d-wang26/wd/resolve/main/diffusers/examples/research_projects/rdm/README.md
- Command line
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hf download hf://d-wang26/wd/diffusers/examples/research_projects/rdm/README.md
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curl -L -o README.md https://huggingface.co/d-wang26/wd/resolve/main/diffusers/examples/research_projects/rdm/README.md
324 Bytes
Diffusers examples with ONNXRuntime optimizations
This research project is not actively maintained by the diffusers team. For any questions or comments, please contact Isamu Isozaki(isamu-isozaki) on github with any questions.
The aim of this project is to provide retrieval augmented diffusion models to diffusers!