Instructions to use Hectore/80s_commercial_scan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hectore/80s_commercial_scan 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("Hectore/80s_commercial_scan") prompt = "80s commercial a woman in a supermarket take a soup bottle" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
80s commercial scan

- Prompt
- 80s commercial a woman in a supermarket take a soup bottle
Model description
LoRA model trained with FLUX on a dataset of 1980s magazine advertisements. It specializes in generating retro-style visuals, featuring vibrant color palettes, vintage graphics, bold typography, and layouts that capture the aesthetic and visual language of that decade. Perfect for creative projects aiming to evoke nostalgia or recreate the feel of classic '80s ad campaigns.
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 Hectore/80s_commercial_scan
Base model
black-forest-labs/FLUX.1-dev