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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a201db1809b90d43fa4521581569095ffdc067f4a59eba21da1cc9708086ae00
- Size of remote file:
- 2.69 GB
- SHA256:
- bbd79005c296da015e07dc7c2b9ee73e06cf73bf25f0b6f8f60b185b85c0444a
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