Instructions to use dx8152/Qwen-Image-Edit-2509-Relight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dx8152/Qwen-Image-Edit-2509-Relight with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2509", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dx8152/Qwen-Image-Edit-2509-Relight") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
about the training dataset
#11 opened 4 months ago
by
star6th
Is just one image enough for Qwen-edit lora to understand the new concept of lighting?
5
#10 opened 6 months ago
by
nikgtn
use pc relight error
1
#9 opened 6 months ago
by
alashuai
Could you clarify the differences between the following models
1
#6 opened 7 months ago
by
makisekurisu-jp
License?
7
#5 opened 7 months ago
by
CyborgPaloma
wrong .json file the one on this is from the Fusion_lora
1
#4 opened 7 months ago
by
BetinhoFormado
add tags for better discoverability :)
🔥 1
1
#3 opened 7 months ago
by
linoyts
lora Kontext ?
2
#2 opened 7 months ago
by
ngoc1