THE BMW M3 GTR
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Model description
<h2 id="remember-the-black-list:-bmw-m3-gtr-lora-for-stable-diffusion-xl-cn6kxzvyh"><span>Remember the Black List: BMW M3 GTR LoRA for Stable Diffusion XL</span></h2><p><span>Bring back the iconic roar of the BMW M3 GTR from Need for Speed Most Wanted (2005) with this custom trained LoRA! 🔥🚗</span></p><p><span>This LoRA accurately captures the distinct features of this legendary car, allowing you to generate stunning images of it in various scenarios.</span></p><p><strong><span>With this LoRA you can:</span></strong></p><ul><li><p><span>Recreate iconic BMW M3 GTR from Need for Speed Most Wanted.</span></p></li><li><p><span>Design custom liveries and modifications for the M3 GTR.</span></p></li><li><p><span>Unleash your creativity and depict the car in unique settings and compositions.</span></p></li></ul><p><strong><span>This LoRA excels at capturing:</span></strong></p><ul><li><p><span>The M3 GTR's signature blue and grey livery.</span></p></li><li><p><span>Its aggressive body kit and spoiler.</span></p></li><li><p><span>Realistic reflections and lighting on the car's body.</span></p></li></ul><p><strong><span>Get ready to relive the thrill of the Black List and download this LoRA today!</span></strong></p><p><strong><span>Note:</span></strong></p><ul><li><p><span>This LoRA is trained on Stable Diffusion XL and may require specific tags for optimal results.</span></p></li><li><p><span>Use "BMW M3 GTR" at the start and "NFSMW" at the end of your prompt to get best results.</span></p></li></ul>
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.
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