Instructions to use JacobLinCool/FLUXd-jacob-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JacobLinCool/FLUXd-jacob-v0.1 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("JacobLinCool/FLUXd-jacob-v0.1") prompt = "Jacob holding a sign that says 'I am Jacob!'" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#14
by JacobLinCool - opened
- README.md +5 -0
- images/example_ixx9ll2qs.png +0 -0
README.md
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and sweat-lined face, capturing the intensity of the competition.
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output:
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url: images/example_6am0rx4eu.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: Jacob
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license: other
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and sweat-lined face, capturing the intensity of the competition.
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output:
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url: images/example_6am0rx4eu.png
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- text: >-
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Jacob, a handsome man in white t shirt, 20 years old, cool, fantasy style,
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riding a unicorn, natural photo cinematic, low-angle shot
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output:
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url: images/example_ixx9ll2qs.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: Jacob
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license: other
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images/example_ixx9ll2qs.png
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