Instructions to use minathor/modelo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use minathor/modelo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("minathor/modelo", torch_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:
- 181324361a38454da0f208ca05f1fed347c1fd09b79d16aac040dd257cbe95a1
- Size of remote file:
- 335 MB
- SHA256:
- 8b35db0323c11c073d28be039e178331d36efe1fd40f4a9d2dd68b74b62040b4
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