Instructions to use Norod78/arthurshow-flux-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Norod78/arthurshow-flux-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("Norod78/arthurshow-flux-lora") prompt = "ArthurShow woman with red hair, playing chess at the park, bomb going off in the background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
arthurshow_flux_lora
Model trained with AI Toolkit by Ostris

- Prompt
- ArthurShow woman with red hair, playing chess at the park, bomb going off in the background

- Prompt
- a ArthurShow man holding a coffee cup, in a beanie, sitting at a cafe

- Prompt
- Rabbit playing the guitar, on stage, singing a song, laser lights, punk rocker ArthurShow
Trigger words
You should use ArthurShow to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Norod78/arthurshow-flux-lora
Base model
black-forest-labs/FLUX.1-dev