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:
- 4e2889fd17df4e462b4cd8416bb0dc4b98e2a7f225b8e2f7098e6ec3f142fc2f
- Size of remote file:
- 3.57 MB
- SHA256:
- 960b660667069546f120705cb0344a09dec59d3e5c4ae46ae2cc125fec618848
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