Instructions to use TheAwakenOne/caricature with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheAwakenOne/caricature 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("TheAwakenOne/caricature") prompt = "CCTUR3 a balding middle-aged businessman with an enormous forehead, tiny eyes, and a chin that could cut glass, struggling to balance a comically small briefcase on his oversized nose" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#2
by TheAwakenOne - opened
- README.md +6 -0
- images/example_gzbm8wswr.png +0 -0
README.md
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branded cap, both squeezed into a cozy oval frame
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output:
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url: images/example_f0pcy0qlz.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: CCTUR3
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license: other
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branded cap, both squeezed into a cozy oval frame
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output:
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url: images/example_f0pcy0qlz.png
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- text: >-
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CCTUR3 Enthusiastic Iron-man fan with exaggerated facial features beams with
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joy, his cartoonishly large head merging seamlessly with a dynamic,
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mechanical-slinging superhero body in mid-action pose
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output:
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url: images/example_gzbm8wswr.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: CCTUR3
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license: other
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images/example_gzbm8wswr.png
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