Instructions to use salesforce/blipdiffusion-controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use salesforce/blipdiffusion-controlnet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("salesforce/blipdiffusion-controlnet", 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:
- 108e6e5d44be390872b40bfac1aa70ef69eaaab8389b14b1967b75ede1539cef
- Size of remote file:
- 1.45 GB
- SHA256:
- 9ee4554b253778e8984a9f14ba5fef240c09275f108e96ff6fe5ce5e710d9d61
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