Instructions to use salesforce/blipdiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use salesforce/blipdiffusion 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", 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:
- c273beab6701dd8ed8f1b7a28d806979eb5b18123e2c76749c0175672d041b74
- Size of remote file:
- 492 MB
- SHA256:
- b374042419b2a5a28e7ee94503ff233719c7bd1345f5896ad982fdeff7c8cccc
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