Instructions to use diffusers/t2iadapter_openpose_sd14v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/t2iadapter_openpose_sd14v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/t2iadapter_openpose_sd14v1", 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:
- 01b4d1c3bf62b3fa1f327fe808c201b7b49ccfe93144623533478b3cab789c2e
- Size of remote file:
- 309 MB
- SHA256:
- 6db9126252a100eda4f927789bb3a72fb45ec806fec36b42f2a14e7f35b2c3da
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