Instructions to use MexFoundation/map_diffusion-1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MexFoundation/map_diffusion-1.1 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-1.1", 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:
- a02f3fd613c74c3717166444e1c8094abbe9e573ad88bc0165bfb60f83f4a9c5
- Size of remote file:
- 2.13 GB
- SHA256:
- efd66f6d7da378b9b9ca303dcc78a7d3602e6fc1e7df2fb84b7f6eafb51ba824
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