Image-to-Image
Diffusers
lora
template:diffusion-lora
Kontext
Cinematic-Relighting
Realism
art
climate
Instructions to use prithivMLmods/FLUX.1-Kontext-Cinematic-Relighting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/FLUX.1-Kontext-Cinematic-Relighting 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("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/FLUX.1-Kontext-Cinematic-Relighting") prompt = "Cinematic Relighting, Relight this portrait with warm, cinematic indoor lighting. Add soft amber highlights and gentle shadows to the face mimicking golden-hour light through a cozy room. Maintain natural skin texture and soft facial shadows, while enhancing eye catchlights for a vivid, lifelike look. Adjust white balance to a warmer tone, and slightly boost exposure to soften the darker midtones. Preserve the subject's pose and expression, and enhance the depth with gentle background bokeh and subtle filmic glow." 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
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!