Instructions to use KBlueLeaf/HDM-xut-340M-anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KBlueLeaf/HDM-xut-340M-anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KBlueLeaf/HDM-xut-340M-anime", 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:
- 9ec419ece222e8372ec0d1260da34d684dc7a22cc36f4b1b8636d758069c52e7
- Size of remote file:
- 5.48 GB
- SHA256:
- 5935dffec5cd9166da715951c9f02184691b7d425bf70aaad39df8294c987b97
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