Instructions to use gokaygokay/Flux-White-Background-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gokaygokay/Flux-White-Background-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("gokaygokay/Flux-White-Background-LoRA") prompt = "grid of 4 3D game assets, pixar, in the middle, white background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Usage
your prompt + , in the middle ,white background for best results
This LoRA is trained with FAL Fast LoRA Trainer .

- Prompt
- grid of 4 3D game assets, pixar, in the middle, white background

- Prompt
- dog, in the middle, white background

- Prompt
- two warriors fighting, in the middle, white background

- Prompt
- rome colosseum, in the middle, white background

- Prompt
- tea cup, in the middle, white background

- Prompt
- hat, in the middle, white background
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Model tree for gokaygokay/Flux-White-Background-LoRA
Base model
black-forest-labs/FLUX.1-dev