Instructions to use nitrosocke/archer-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/archer-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/archer-diffusion", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download archer-diffusion-dataset.png from nitrosocke/archer-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/nitrosocke/archer-diffusion/resolve/e1c832b7dab25ea133ad85da1afbb2bbe09a2df7/archer-diffusion-dataset.png
- Command line
-
hf download hf://nitrosocke/archer-diffusion@e1c832b7dab25ea133ad85da1afbb2bbe09a2df7/archer-diffusion-dataset.png
-
curl -L -o archer-diffusion-dataset.png https://huggingface.co/nitrosocke/archer-diffusion/resolve/e1c832b7dab25ea133ad85da1afbb2bbe09a2df7/archer-diffusion-dataset.png
3.62 MB

- Xet hash:
- fd4848e369b0efb91aa9b5462694032421dae544eb8bc4ee40d1a060dddd2b8d
- Size of remote file:
- 3.62 MB
- SHA256:
- 2e99267a8b5e9ef5a41ff7abefa5f13f0ad13ad51d0b612c92fbb6ae71ec593e
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