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| Prompt | Result |
|---|---|
gtaonline, garden with flowers, minimap, hud | Pink trees, GTA-style lighting |
gtaonline, city street, cars, sunny day | Downtown Los Santos vibes |
1from diffusers import StableDiffusionPipeline
2from safetensors.torch import load_file
3import torch
4
5pipe = StableDiffusionPipeline.from_pretrained(
6 "runwayml/stable-diffusion-v1-5",
7 torch_dtype=torch.float16,
8 safety_checker=None
9).to("cuda")
10
11state_dict = load_file("gta_online_lora.safetensors")
12pipe.unet.load_state_dict(state_dict, strict=False)
13
14prompt = "gtaonline, city street, minimap, hud, sunny day"
15image = pipe(prompt, num_inference_steps=30, guidance_scale=7.5).images[0]
16image.save("output.png")gta_online_lora.safetensorsmodels/Lora/ foldergtaonline in your prompt<lora:gta_online_lora:0.8>gtaonline in your prompt to activate the style.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| 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 |
to_q, to_v, to_k, to_out.0, ff.net.0.proj, ff.net.2