Instructions to use codeShare/unstableRevolution_SDNQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeShare/unstableRevolution_SDNQ with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codeShare/unstableRevolution_SDNQ", 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:
- 5b144a98ea6ed7638e17024e8d283d0d4abbc82b3f67ef753281ea47669f1ae6
- Size of remote file:
- 168 MB
- SHA256:
- db7953d19cacc295915865a5849da2a350546e85984624feefc3ace38c70db85
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