Instructions to use Pedrox2/part-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pedrox2/part-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Pedrox2/part-4", dtype=torch.bfloat16, device_map="cuda") prompt = "Simboski" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from Pedrox2/part-4: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Pedrox2/part-4/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Pedrox2/part-4/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Pedrox2/part-4/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 8c22bd9196242a1f492a8a2219f1a0d4822f237061af3fc45362240068df597a
- Size of remote file:
- 3.44 GB
- SHA256:
- 40768a1c9571fcc416b2d42f027c2301ccf83b483f18f8874e806114deb5ee27
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