Instructions to use MrBekson119/ControlNeXt-SD3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MrBekson119/ControlNeXt-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("MrBekson119/ControlNeXt-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:
- 6e0f80ee065aaa2202c756a4f34fe5da170d4f4339ed07316b3cc394511105df
- Size of remote file:
- 625 MB
- SHA256:
- 092dd6818046f385c631e097db7799e9325344c53e4150b669de9f07a6d2df5f
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