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", 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:
- bd363df30bfcd96ff9f80ad3ad34c386cfad83ec722b5cc7bbc1888f6ddeda85
- Size of remote file:
- 2.13 GB
- SHA256:
- 01604b7a96f249789ce8ccc7b1e20de4cfed8d393dfb20bd621ed18ad1a82fcf
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