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NinjaGoose/1988-mercedes-benz
1988-mercedes-benz is a text-to-image model from NinjaGoose. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
Model trained with AI Toolkit by Ostris <Gallery /
Downloads · 30 days
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3% of all-time downloads
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.safetensors344 MB · 100%
From the Hugging Face model README
Model trained with AI Toolkit by Ostris <Gallery />
You should use 1988_Mercedes_Benz to trigger the image generation.
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('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('NinjaGoose/1988-mercedes-benz', weight_name='1988-mercedes-benz.safetensors')
image = pipeline('A cozy anime-style scene featuring a pristine 1988_Mercedes_Benz, elegantly parked inside a meticulously designed coffee shop. The deep crimson red paint gleams under soft ambient lighting, reflecting the warm wooden furnishings and cascading green plants that surround it. Sunlight streams through large café windows, casting dreamy golden rays on the floor, while the gentle hum of soft jazz music blends with the quiet murmur of espresso-sipping patrons. The scene is rich in delicate brushstrokes and warm pastel colors, evoking a peaceful blend of luxury, history, and anime-style atmospheric beauty. The café exudes a minimalist charm, with subtle details like handwritten chalkboard menus, steaming cappuccinos, and the faint scent of fresh coffee beans completing the picture. ').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers