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 text_encoder/pytorch_model.bin from SEVUNX/naphael_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/SEVUNX/naphael_diffusers/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://SEVUNX/naphael_diffusers/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SEVUNX/naphael_diffusers/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 41a30b1d6efdd1cb9a824478619dd4ea3b39843d64f15abd5b02f8726c7d175f
- Size of remote file:
- 492 MB
- SHA256:
- e17ea98ea8168b1218f89722249bc3f31a71663371b8d720efcf620350bf3065
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