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
Update README.md
#1
by Woogiepark - opened
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BLIP2 captioning tool as an extension of AUTOMATIC's WebUI.
https://github.com/p1atdev/stable-diffusion-webui-blip2-captioner?tab=readme-ov-file#stable-diffusion-webui-blip2-captioner
BLIP2 captioning tool as an extension of AUTOMATIC's WebUI. https://github.com/p1atdev/stable-diffusion-webui-blip2-captioner?tab=readme-ov-file#stable-diffusion-webui-blip2-captioner
Woogiepark changed pull request status to closed
BLIP2 captioning tool as an extension of AUTOMATIC's WebUI. https://github.com/p1atdev/stable-diffusion-webui-blip2-captioner?tab=readme-ov-file#stable-diffusion-webui-blip2-captioner
Woogiepark changed pull request status to open