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
- Draw Things
- DiffusionBee
Add generated example
Browse filesGenerated example for model JacobLinCool/FLUXd-jacob-v0.1.
Prompt: Jacob, A handsome man in a suit, 20 years old, cool, fantasy style, natural photo cinematic
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- images/example_oip0dbrwh.png +0 -0
README.md
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photo cinematic
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output:
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url: images/example_qr1o6toqa.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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photo cinematic
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output:
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url: images/example_qr1o6toqa.png
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- text: >-
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Jacob, A handsome man in a suit, 20 years old, cool, fantasy style, natural
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photo cinematic
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output:
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url: images/example_oip0dbrwh.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_oip0dbrwh.png
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