NickIBrody/gta-online-lora

🎮 GTA Online LoRA

A LoRA fine-tune of Stable Diffusion 1.5 trained on screenshots from GTA Online.
Generates images in the visual style of GTA Online — city streets, lighting, atmosphere, and HUD elements like the minimap and money display.

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Examples

Prompt	Result
gtaonline, garden with flowers, minimap, hud	Pink trees, GTA-style lighting
gtaonline, city street, cars, sunny day	Downtown Los Santos vibes

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Usage

This is a LoRA weight file — you need a base Stable Diffusion 1.5 model to use it.

With diffusers

from diffusers import StableDiffusionPipeline
from safetensors.torch import load_file
import torch

pipe = StableDiffusionPipeline.from_pretrained(
    "runwayml/stable-diffusion-v1-5",
    torch_dtype=torch.float16,
    safety_checker=None
).to("cuda")

state_dict = load_file("gta_online_lora.safetensors")
pipe.unet.load_state_dict(state_dict, strict=False)

prompt = "gtaonline, city street, minimap, hud, sunny day"
image = pipe(prompt, num_inference_steps=30, guidance_scale=7.5).images[0]
image.save("output.png")

With Automatic1111 / ComfyUI

1. Download gta_online_lora.safetensors
2. Place it in models/Lora/ folder
3. Use trigger word gtaonline in your prompt
4. Recommended weight: <lora:gta_online_lora:0.8>

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Trigger Word

Always include gtaonline in your prompt to activate the style.

Good prompts:

gtaonline, luxury penthouse, city view, minimap, hud
gtaonline, beach at sunset, palm trees, sports car
gtaonline, rainy night street, neon lights, puddles
gtaonline, first person view, city, hud, money display

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Model Details

Parameter	Value
Base model	Stable Diffusion 1.5
LoRA rank	16
LoRA alpha	8
Training steps	3000
Dataset size	~300 screenshots
Resolution	512×512
File size	22.9 MB
Format	safetensors

Target modules: to_q, to_v, to_k, to_out.0, ff.net.0.proj, ff.net.2

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Training

Trained on Google Colab T4 GPU using a custom diffusers training script.
Dataset consists of ~300 manually captured GTA Online screenshots covering various locations, times of day, and weather conditions.

Training setup:

• Optimizer: AdamW, lr=8e-5, weight_decay=1e-4
• Scheduler: CosineAnnealingLR
• Augmentations: horizontal flip, color jitter
• Mixed precision: fp16
• Gradient clipping: 1.0

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License

creativeml-openrail-m

This model is intended for personal and research use.
GTA Online and all related assets are property of Rockstar Games.

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Made with ❤️ and too many hours in Los Santos