Instructions to use ucfzl/ControlNet_DINO_segmentation_COCOStuff_CPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ucfzl/ControlNet_DINO_segmentation_COCOStuff_CPO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ucfzl/ControlNet_DINO_segmentation_COCOStuff_CPO", 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:
- 3c17c35e85180b41c7f1d4ef8c752d138d2b93d9caef0d3dc05766b4b1ace166
- Size of remote file:
- 1.53 GB
- SHA256:
- 867add8244e8a4c3fa50667d6363d3dc0771c1ceb2cca55b45a29bed26bbf666
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