Instructions to use MexFoundation/sd-controlnet-maps-1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MexFoundation/sd-controlnet-maps-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/sd-controlnet-maps-1.1", 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:
- 9d5b83925a9888d4e6fb50932bdc69c5c0bc96c2eb68bf394335492d4b028386
- Size of remote file:
- 1.45 GB
- SHA256:
- 721a03cf5681ce5b260d61133b0c02f32d8c9a4301511451389b1645436a0e36
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