Instructions to use fblues/an with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fblues/an with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fblues/an", 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 unet/diffusion_pytorch_model.bin from fblues/an: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/fblues/an/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://fblues/an/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/fblues/an/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 7f34a2a1dd1315beea22ae3d23a7559beb472d5e333f8a656d301395cd1d46af
- Size of remote file:
- 3.44 GB
- SHA256:
- fd68a2a551bff384dcef8552f8a996c69dceca276909c9a1544d89c0d0a7814d
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