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
Download text_encoder/pytorch_model.bin from MexFoundation/map_diffusion: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/MexFoundation/map_diffusion/resolve/25282d520bd97deff0bf1a0cb6652d243aed757e/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://MexFoundation/map_diffusion@25282d520bd97deff0bf1a0cb6652d243aed757e/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MexFoundation/map_diffusion/resolve/25282d520bd97deff0bf1a0cb6652d243aed757e/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- aa494dca137913bca67ff8f72ccea3d36b27d26291d385cf68a5a23a59bcaad7
- Size of remote file:
- 246 MB
- SHA256:
- 5f2fbbc2c54bb2b55a4957d7922faa15272d547786d965edc807053d22d37cc2
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