metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=True&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - bmw
  - vehicle
  - car
  - need for speed
  - bmw m3 gtr
  - nfsmw
  - m3
  - most wanted
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: BMW M3 GTR
widget:
  - text: ' '
    output:
      url: 20773015.jpeg
  - text: ' '
    output:
      url: 20773016.jpeg

THE BMW M3 GTR

Model description

Remember the Black List: BMW M3 GTR LoRA for Stable Diffusion XL

Bring back the iconic roar of the BMW M3 GTR from Need for Speed Most Wanted (2005) with this custom trained LoRA! 🔥🚗

This LoRA accurately captures the distinct features of this legendary car, allowing you to generate stunning images of it in various scenarios.

With this LoRA you can:

Recreate iconic BMW M3 GTR from Need for Speed Most Wanted.
Design custom liveries and modifications for the M3 GTR.
Unleash your creativity and depict the car in unique settings and compositions.

This LoRA excels at capturing:

The M3 GTR's signature blue and grey livery.
Its aggressive body kit and spoiler.
Realistic reflections and lighting on the car's body.

Get ready to relive the thrill of the Black List and download this LoRA today!

Note:

This LoRA is trained on Stable Diffusion XL and may require specific tags for optimal results.
Use "BMW M3 GTR" at the start and "NFSMW" at the end of your prompt to get best results.

Trigger words

You should use BMW M3 GTR, NFSMW to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Tech-Meld/the-bmw-m3-gtr', weight_name='THE_BMW_M3_GTR.safetensors')
image = pipeline('`BMW M3 GTR`, `NFSMW`').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers