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:
- 4f36af96bd9e21d0c01ca5b0c6943d61960680cd9a692594a18f5c3f7a770330
- Size of remote file:
- 352 kB
- SHA256:
- 7dc15e49e9a9361697ab1d76f2188d9f6f371e7b613220052e53715802aa2c03
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