Text-to-Image
Diffusers
cars
concept
diecast
diorama
lora
migrated
miniature model
miniatures
scale model
scene
stable-diffusion
template:sd-lora
traffic
vehicles
Instructions to use WizWhite/wizard-s-miniatura with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WizWhite/wizard-s-miniatura with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("WizWhite/wizard-s-miniatura") prompt = "A dramatic miniature diorama, action poster of a vibrant orange Volkswagen Beetle, soaring through the air with a trail of dust and smoke billowing behind it. The diecast car is tilted slightly upward as it defies gravity, its tires spinning and suspension compressed from the force of the jump. License plate reads \"WIZARD\". The background is a vibrant teal color, with dramatic lighting that casts harsh shadows on the teal floor. The cinematic composition captures a high-speed stunt, evoking a sense of adrenaline and impending chaos. The intense teal backdrop highlights the intense orange color of the diecast VW Beetle, and it's classic round shape. " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
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