Instructions to use MexFoundation/map_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MexFoundation/map_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MexFoundation/map_diffusion", 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:
- aa494dca137913bca67ff8f72ccea3d36b27d26291d385cf68a5a23a59bcaad7
- Size of remote file:
- 246 MB
- SHA256:
- 5f2fbbc2c54bb2b55a4957d7922faa15272d547786d965edc807053d22d37cc2
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