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
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Download README.md from EmilTheExpert/Artwork-Style: direct link, hf CLI and curl.
- Browser
- Download file 955 Bytes
-
https://huggingface.co/EmilTheExpert/Artwork-Style/resolve/main/README.md
- Command line
-
hf download hf://EmilTheExpert/Artwork-Style/README.md
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curl -L -o README.md https://huggingface.co/EmilTheExpert/Artwork-Style/resolve/main/README.md
955 Bytes
metadata
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
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 them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-kontext-trainer.