Instructions to use MexFoundation/map_diffusion-1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MexFoundation/map_diffusion-1.2 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-1.2", 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
- Xet hash:
- 9f826442bbfc25370ede8e5bd74141326c4f08fe9f315142b3c44d337b4edb81
- Size of remote file:
- 246 MB
- SHA256:
- b7f3fbcaf9e6eb8222e3465cb44dbdde1e978f398c033e8191991a706ca522b6
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