Instructions to use j4s0ch3/Qwen-image-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use j4s0ch3/Qwen-image-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("j4s0ch3/Qwen-image-diffusers", torch_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
LoRAs are gathered from the following repos:
- lovis93/next-scene-qwen-image-lora-2509
- flymy-ai/qwen-image-edit-2509-inscene-lora
- dx8152/Qwen-Edit-2509-Multiple-angles
- dx8152/Qwen-Image-Edit-2509-Fusion
- lightx2v/Qwen-Image-Lightning
Remove background model:
- briaai/RMBG-1.4
- Downloads last month
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