metadata
widget:
- text: >-
gta6style, a cinematic close-up of a young woman with a determined yet
emotional expression, her face illuminated by a warm, dim light. She has
subtle freckles, hoop earrings, and a loose braid resting on her shoulder.
The background is softly blurred, hinting at a modest room with a glowing
bedside lamp, adding depth and a sense of intimacy to the scene. [trigger]
output:
url: samples/3.jpg
base_model:
- black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
tags:
- flux
- text-to-image
- lora
- ai-toolkit
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
GTA6-style-flux-lora

- Prompt
- [trigger], a cinematic close-up of a young woman with a determined yet emotional expression, her face illuminated by a warm, dim light. She has subtle freckles, hoop earrings, and a loose braid resting on her shoulder. The background is softly blurred, hinting at a modest room with a glowing bedside lamp, adding depth and a sense of intimacy to the scene.

- Prompt
- [trigger], a rooftop party with neon lights, a pool, and city views. Stylish characters dance and socialize as a DJ plays, with the sunset sky glowing in the background.
Trigger Word
'gta6style' is the trigger word.
This LoRA is trained for anyone who like GTA6 style. You can visit our website to check other models https://wiro.ai/
Usage
from diffusers import FluxPipeline
import torch
pipe = FluxPipeline.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipe.load_lora_weights('WiroAI/GTA6-style-flux-lora', weight_name='gta6style.safetensors')
image = pipe('[trigger], a cinematic close-up of a young woman with a determined yet emotional expression, her face illuminated by a warm, dim light. She has subtle freckles, hoop earrings, and a loose braid resting on her shoulder. The background is softly blurred, hinting at a modest room with a glowing bedside lamp, adding depth and a sense of intimacy to the scene.').images[0]
image.save("gta_style_image.png")