Instructions to use hakurei/artstation-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hakurei/artstation-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hakurei/artstation-diffusion", 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 hakurei/artstation-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/hakurei/artstation-diffusion/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://hakurei/artstation-diffusion/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/hakurei/artstation-diffusion/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 32cd44f6ab821b4af488fc2f23a8b03cab036104d1604d0b3022d6d52bbe73c3
- Size of remote file:
- 3.44 GB
- SHA256:
- 6431d4cf5dd71fce2634bd72352fb91aa1e93c269695ab3feb563e8a8354f7d1
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