Instructions to use ishan24/Sana_600M_1024px_ControlNet_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ishan24/Sana_600M_1024px_ControlNet_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ishan24/Sana_600M_1024px_ControlNet_diffusers", 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:
- 2d0d1b4f5837bf120a8e99d36a8acb8b97c1e0396c4e7a317e6877e7b9153adf
- Size of remote file:
- 186 kB
- SHA256:
- 6ecf61d969522186934b39d866c4d7ac48b0f737723d755f82f48e083b9c876d
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