Instructions to use MexFoundation/map_diffusion-1.3_500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MexFoundation/map_diffusion-1.3_500 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_500", 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:
- 5bbbf9141e7e1c437a3454f93d69788d11a8c9afc99982fe858ce24e1ef87135
- Size of remote file:
- 2.13 GB
- SHA256:
- 7100d22c7ad5ba4e2a844c5a451f6d38b73c4418a447a39f385eb4de9a5b5208
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