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
Add klein-9B alpha intermediate step 1750
Browse files
klein9b_alpha_step1750.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7da24f0f4990eed140f35ea29200b746ad7e6e571cfb0349c5f8df3529daacd
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size 165704168
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