Instructions to use GraydientPlatformAPI/jamfuta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/jamfuta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/jamfuta", 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 GraydientPlatformAPI/jamfuta: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/GraydientPlatformAPI/jamfuta/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://GraydientPlatformAPI/jamfuta/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/GraydientPlatformAPI/jamfuta/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 8ab4772fd8df9dc883edd0f687c3b413c49ed79db997d24f06fa4887bb0f7e96
- Size of remote file:
- 3.44 GB
- SHA256:
- 8358eaa752f78eae654fce6c34a3f64e6cb56b60cd460ec10fab88a77854bbfe
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