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:
- 945233588ef0e959f97be60416098250f252d3112fb60ee739af369b47f01403
- Size of remote file:
- 2.13 GB
- SHA256:
- f9e917612d1ed2aa32bcc685b925bd2bbe646cf8b8f2a20b38573a88ac44f4f2
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