Instructions to use diffusers-test/test5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/test5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-test/test5", 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.safetensors from diffusers-test/test5: direct link, hf CLI and curl.
- Browser
- Download file 1.73 GB
-
https://huggingface.co/diffusers-test/test5/resolve/main/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://diffusers-test/test5/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/diffusers-test/test5/resolve/main/unet/diffusion_pytorch_model.safetensors
1.73 GB
- Xet hash:
- 1603c70d475ee3ecd661d49cf71fd7909795ea68f7f3bf427fb0bd540f1cc4fa
- Size of remote file:
- 1.73 GB
- SHA256:
- 8a3a4d7978884c5e4ef00b62641b1b544b257be2f6715d984188610ad6475ad2
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