Instructions to use renderartist/retrocomicflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use renderartist/retrocomicflux 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("renderartist/retrocomicflux") prompt = "c0m1c style vintage comic cover of a psychic woman sitting at a covered red table, in a haunting manor scene, the illustration style is macabre, candles in the bacground over a mantle, the psychic is hovering her hands over a purple crystal ball. Title test reads \"Tales from the Flux\" in an eerie type face. In the lower corner show a price of 15 cents and the date SEP 2024" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
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@@ -88,8 +88,6 @@ I was careful in my selection of images and preprocessed each image in Photoshop
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Definitely expect a V2 of this LoRA soon, I have some ideas on how I can improve consistency but I need to find more varied source images.
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If you enjoy this resource please send BUZZ ⚡️so I can keep experimenting and sharing. Please share your images in the gallery after downloading them, by sharing them in the gallery the system gives creators buzz to help with generating and training.
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Trigger keyword: 'c0m1c' 'comic book panel'
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Recommended strengths: 0.7 - 0.9
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Definitely expect a V2 of this LoRA soon, I have some ideas on how I can improve consistency but I need to find more varied source images.
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Trigger keyword: 'c0m1c' 'comic book panel'
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Recommended strengths: 0.7 - 0.9
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