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", torch_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:
- 7bc1e59080ef8548dca292063a8c37af0cbb088d986edd1adca9b015f9b283a9
- Size of remote file:
- 246 MB
- SHA256:
- c30a2cbdfd2ca9b30f78e47c0eb4db399c4fb640e4afe5fa97887631df7ac6fe
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