Instructions to use SidXXD/f-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/f-128 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/f-128", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/f-128: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/f-128/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/f-128/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/f-128/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- 12ca9b2e18b820f3e38cbee5ff7fc405c9b1574da4fd0b3c53aff81a990897da
- Size of remote file:
- 76.7 MB
- SHA256:
- 848a0e18963fe5fe1357ea40cf8b8a4c651df715cda713507ab43fbdbbdee7c2
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