Instructions to use tarn59/lighting-slider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tarn59/lighting-slider with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HiDream-ai/HiDream-I1-Full", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tarn59/lighting-slider") prompt = "Anime woman in a field. The sunshine if filtered through the trees." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
lighting-slider

- Prompt
- Anime woman in a field. The sunshine if filtered through the trees.

- Prompt
- Close up of an anime girl in a night club. There is a purple light above her shining.
Model description
Lighting slider lora. Use lora strength to adjust the scene lighting -3 = more shadows and contrast, 3 = less shadows, flatter lighting
Download model
Download them in the Files & versions tab.
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Model tree for tarn59/lighting-slider
Base model
HiDream-ai/HiDream-I1-Full