Instructions to use Linaqruf/hitokomoru-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Linaqruf/hitokomoru-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("Linaqruf/hitokomoru-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
- Xet hash:
- a6c6ea9262519ba9d2bc796bdead1220cc70c294475993e1f1da3575a31a0f10
- Size of remote file:
- 5.57 GB
- SHA256:
- bb132bee5cb0191b555d105dbd3c765d2db51d408eada6339ae9bb1d83600a88
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