Instructions to use davisbro/half_illustration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use davisbro/half_illustration 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("davisbro/half_illustration") prompt = "In the style of TOK, a photo editorial avant-garde dramatic action pose of a woman short blue hair wearing 70s round wacky sunglasses pulling glasses down looking forward, in Tokyo with large marble structures and bonsai trees at sunset with a vibrant illustrated jacket surrounded by illustrations of flowers, smoke, flames, ice cream, sparkles, rock and roll" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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## Model description
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Flux Dev 1 model that creates images with both photographic and illustrative elements. Pretty cool right? I've trained this model on a curated collection of images gathered from Pinterest. I am not the creator of the original art used for the fine-tuned training, but want to provide access for creative
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https://replicate.com/lucataco/ai-toolkit/readme<br>
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https://replicate.com/lucataco/flux-dev-lora
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## Model description
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Flux Dev 1 model that creates images with both photographic and illustrative elements. Pretty cool right? I've trained this model on a curated collection of images gathered from Pinterest. I am not the creator of the original art used for the fine-tuned training, but want to provide access for creative exploration. You can run the model for yourself or train your own on Replicate. Let me know your thoughts and have a wonderful day!
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https://replicate.com/lucataco/ai-toolkit/readme<br>
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https://replicate.com/lucataco/flux-dev-lora
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