Instructions to use ChrisColeTech/Mage-Flow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChrisColeTech/Mage-Flow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChrisColeTech/Mage-Flow", 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:
- 475e266d22e367500feaa7db4e15eb31858f7b19836fb4d7aa6b1a1e2add3d9f
- Size of remote file:
- 1.29 MB
- SHA256:
- aec79330ca410d37760b6a3724f4fd06c5f167440ea899bd19a0abd09778cc95
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