Instructions to use RzZ/sd-v1-4-adapter-keypose-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RzZ/sd-v1-4-adapter-keypose-depth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RzZ/sd-v1-4-adapter-keypose-depth", 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:
- a2d84073ba28881c483b8add54b55f679247c752282cb5b65a8cae151793f481
- Size of remote file:
- 619 MB
- SHA256:
- 5926fdb63df20463d5ec2f77177d6925e15bcfd4b0a245d7f3fd49e5c107c59b
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