Instructions to use diffusers/t2iadapter_keypose_sd14v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/t2iadapter_keypose_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_keypose_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:
- 7af65941a27684b141752da0cd599e9be443a61cc455fbbd8c45bef6ed59ad72
- Size of remote file:
- 309 MB
- SHA256:
- c44bde691ca63e5d961689554c88845398bcc0058767fca609a8686719091928
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