Instructions to use MexFoundation/sd-controlnet-maps-1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MexFoundation/sd-controlnet-maps-1.2 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/sd-controlnet-maps-1.2", 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
- Xet hash:
- 47c96bdb77d33878f9a2d6965b88b9ebedfd419d1f312c2394a4e9eedaf333f1
- Size of remote file:
- 1.45 GB
- SHA256:
- 4c04343ceb0a421d95e8fcf267fed91ba5e1221f90303ad23fba541ac6c24e42
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