Image-to-Image
Diffusers
lora
hdr
exr
tone-mapping
logc3
logc4
acescct
aces
arri
diffusion-transformer
qwen-image-edit
flux2-klein
Instructions to use oumoumad/LumiPic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oumoumad/LumiPic 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-2511", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("oumoumad/LumiPic") 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 Settings
- Draw Things
Download grid_ev-6.png from oumoumad/LumiPic: direct link, hf CLI and curl.
- Browser
- Download file 1.11 MB
-
https://huggingface.co/oumoumad/LumiPic/resolve/main/grid_ev-6.png
- Command line
-
hf download hf://oumoumad/LumiPic/grid_ev-6.png
-
curl -L -o grid_ev-6.png https://huggingface.co/oumoumad/LumiPic/resolve/main/grid_ev-6.png
1.11 MB

- Xet hash:
- 7e409f6ab672cf118ce41854c955dafcde9912ad35e15a949b70ef4fc4323746
- Size of remote file:
- 1.11 MB
- SHA256:
- db7e2977b329ab900f1bf6a568c63e9447e5bba1b20c1dd1b6fb6c734e2cfe18
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