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:
- 936bd5fec13df436a060ba6a26423abf870b667b20e27a64565b7a96b2862eaa
- Size of remote file:
- 3.44 GB
- SHA256:
- ad07b0bf01e61fa0605925aaec490a82e7ccf685686b07f422a1eabe1cb5c53f
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