Instructions to use multimodalart/product-design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use multimodalart/product-design 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("multimodalart/product-design") prompt = "a coffee machine product designed by prdsgn" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
product-design
Model trained with AI Toolkit by Ostris

- Prompt
- a coffee machine product designed by prdsgn

- Prompt
- a kettle product designed by prdsgn

- Prompt
- a meat grinder product designed by prdsgn
Trigger words
You should use product designed by prdsgn to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for multimodalart/product-design
Base model
black-forest-labs/FLUX.1-dev