Instructions to use sdfafdfsdf/Phr00t-Qwen-Rapid-AIO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sdfafdfsdf/Phr00t-Qwen-Rapid-AIO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sdfafdfsdf/Phr00t-Qwen-Rapid-AIO", 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
Qwen-Image-Edit-Rapid-AIO (extracted)
This repository provides an extracted version of the original Phr00t release for easier downstream use.
Sources & credit
- Original Phr00t repo: Phr00t/Qwen-Image-Edit-Rapid-AIO
- Inspired by: linoyts/Qwen-Image-Edit-Rapid-AIO
Versions included
Currently available:
- v14.1
- v18.1
- v19
- v20
- v21
- v22
- v23
More versions will be added over time.
Extraction
- Space used for extraction: Pr0f3ssi0n4ln00b/Extract-diffusers
- Downloads last month
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Model tree for sdfafdfsdf/Phr00t-Qwen-Rapid-AIO
Base model
Qwen/Qwen-Image-Edit-2511