Instructions to use prithivMLmods/Flux-GArt-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Flux-GArt-LoRA 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/Flux-GArt-LoRA") prompt = "GArt, a man in a blue jacket and blue jeans is riding a brown horse down a dirt road in the middle of a desert. The man is wearing a black cowboy hat, a blue long sleeved shirt, and black boots. The horse is facing the left side of the road, and the sun is setting in the background, casting a shadow on the road. The road is divided into two sections, each section having a yellow line painted on it. To the left and right of the image, there are cactus plants with yellow flowers growing on the ground. In the distance, there is a mountain range. The sky is a deep orange, with a few wispy clouds in the sky." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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