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:
- 0d08cde0e29c9b1f79c2c2bb8d5543785eaca5e1e452a9918e9cf336ec4442ae
- Size of remote file:
- 5.48 GB
- SHA256:
- 09e31d440fce926deace9e7c0d3b2f7c318060f81e1dce6fe0c57e91878e2eb2
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