Instructions to use stablediffusionapi/redux123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/redux123 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/redux123", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 888f3fef5c6881d0203b4eece92fd68eab5399d759c301e13358940f1e41ccbb
- Size of remote file:
- 1.72 GB
- SHA256:
- ede503612937336aa60275fadda1cce94208d14d63692e0691f3e2a5e390c868
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