Instructions to use SEVUNX/naphael_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SEVUNX/naphael_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SEVUNX/naphael_diffusers", 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 SEVUNX/naphael_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/SEVUNX/naphael_diffusers/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://SEVUNX/naphael_diffusers/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/SEVUNX/naphael_diffusers/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 32895fd967978ea9497532d6a9fa4f2b3dda5a9994a77045510945cb80cd8959
- Size of remote file:
- 3.44 GB
- SHA256:
- 4179744ff0a6b178e541d42f4088a4ea20917bfe9ab492688c9784e823f49e85
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