Instructions to use RzZ/sd-v1-4-adapter-seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RzZ/sd-v1-4-adapter-seg 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-seg", 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:
- bb5b69d0d003080080e5e55b41cb6bf6abdb2378eb39767f4e74f26ec50cafd5
- Size of remote file:
- 309 MB
- SHA256:
- 6c53a97573b9e19b0a9fe18ad8bdf8009258e453b056e8424b8bdee64244da03
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