Instructions to use mio/hiten with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mio/hiten with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mio/hiten", 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
- Draw Things
- DiffusionBee
add epoch10 model
Browse files- hiten_epoch10.ckpt +3 -0
hiten_epoch10.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:30aef9dea195716fade04bbc6c1d5efba4ceade1fd0dbc9f933efa7d68f6caea
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size 3851914092
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