Instructions to use EmilTheExpert/Artwork-Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EmilTheExpert/Artwork-Style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("EmilTheExpert/Artwork-Style") prompt = "<retro>, convert sketch to retro illustration, mid-century commercial art, clean lines, soft shading, vibrant colors" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 955 Bytes
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tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: undefined
instance_prompt: <retro>, convert sketch to retro illustration, mid-century commercial art, clean lines, soft shading, vibrant colors
license: other
---
# Artwork Style
<Gallery />
## Model description
LoRA model trained to convert sketches into Mid-20th Century Retro Illustrations.
Ideal for polished, vibrant commercial art with clean outlines and nostalgic aesthetic.
## Trigger words
You should use `<retro>, convert sketch to retro illustration, mid-century commercial art, clean lines, soft shading, vibrant colors` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/EmilTheExpert/Artwork-Style/tree/main) them in the Files & versions tab.
## Training at fal.ai
Training was done using [fal.ai/models/fal-ai/flux-kontext-trainer](https://fal.ai/models/fal-ai/flux-kontext-trainer).
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