Instructions to use heboya8/controlnet-sd-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use heboya8/controlnet-sd-2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("heboya8/controlnet-sd-2.1", 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:
- 3896d92da31d9d6dc3aa4baf07653db8221b00c3588bfff2854946940fc10e10
- Size of remote file:
- 741 MB
- SHA256:
- c64ebcba66ec8d5a100008731d052eb340780c48512ff1e88de232adf651eed9
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