Instructions to use ishan24/Sana_600M_1024px_ControlNetPlus_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ishan24/Sana_600M_1024px_ControlNetPlus_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_ControlNetPlus_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
- Draw Things
- DiffusionBee
- Xet hash:
- ad2f5de8de887e3f71d8e079fc1294820c5940cc699592e3a08cc1bbb729d969
- Size of remote file:
- 338 MB
- SHA256:
- ee19efa196605de50715fbe287951796ebe2c7ea009c945e77963c729922884c
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