Instructions to use zhyemmmm/MoXin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhyemmmm/MoXin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zhyemmmm/MoXin", 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:
- fc3365eb77b79f7fb2495e69013bba2da2c79f5a404d7397cbc555aecd8d6297
- Size of remote file:
- 492 MB
- SHA256:
- 7bfd1b245bcd2886f75a4bd34f1b2f3b01287c0d4b979d2baeb824884ac40bdb
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