Instructions to use MexFoundation/map_diffusion-1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MexFoundation/map_diffusion-1.1 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-1.1", 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:
- 3915ba840dd13ad6d8ce51192fb761d9488f39bb8cd0eb16fadc73657b53733e
- Size of remote file:
- 3.44 GB
- SHA256:
- 4df7d7c163d3d5006c82223a648bfc22eb56d978505fb6d5275c5842c4c9cb6e
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