Instructions to use MexFoundation/map_diffusion-1.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MexFoundation/map_diffusion-1.3 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-1.3", 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:
- 36a706a031a4c754eb746d4c62d0a5991a40383a9e10a025196cf411452d46f7
- Size of remote file:
- 246 MB
- SHA256:
- 686e4afa2239de8860eb272cd27a1885c8e33a2e9ae99799b1cbb51920ed1008
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