Instructions to use gokaygokay/Rotation-Fix-Kontext-Dev-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gokaygokay/Rotation-Fix-Kontext-Dev-LoRA 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("gokaygokay/Rotation-Fix-Kontext-Dev-LoRA") prompt = "Fix rotation and fill background" 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
Rotation Fix Kontext Dev LoRA

- Prompt
- Fix rotation and fill background

- Prompt
- Fix rotation and fill background
Model description
Trigger phrase
Fix rotation and fill background
Download model
Weights for this model are available in Safetensors format.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-kontext-trainer/playground.
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Model tree for gokaygokay/Rotation-Fix-Kontext-Dev-LoRA
Base model
black-forest-labs/FLUX.1-Kontext-dev