Instructions to use DavyMorgan/tiny-controlnet-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DavyMorgan/tiny-controlnet-sd3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DavyMorgan/tiny-controlnet-sd3", 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
- Xet hash:
- 5aabf40b97c7c431c1af38dae7cbb4978b5084c363d5b59e0a6fec1c611ca52b
- Size of remote file:
- 1.4 MB
- SHA256:
- 728750ca13d56cb52dc7f3794c7a0c65e490cbfd18dcaa4cebdd71344fe1b19b
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