Instructions to use Shakker-Labs/FLUX.1-Kontext-dev-LoRA-Pixel-Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shakker-Labs/FLUX.1-Kontext-dev-LoRA-Pixel-Style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # 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("Shakker-Labs/FLUX.1-Kontext-dev-LoRA-Pixel-Style") prompt = "Convert to a pixel art style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Would you train a controlnet base on Kontext-dev ??
#1 opened 10 months ago
by
johnsonyue