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:
- eff070635e517a9e5d67313d0404fb0727bd9d2da77ccdcdf89c1242f6cdb294
- Size of remote file:
- 530 kB
- SHA256:
- 30b70d97d1d3b0a4a33a99d4d31b79ba4ac0278e5fa1c9ebafe142173408bbe1
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