Instructions to use AiAF/Eefoj_Flux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/Eefoj_Flux1 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("AiAF/Eefoj_Flux1") prompt = "Eefoj \\(Artist\\), @EefojLuk, @eefojsoup, 1boy, brown hair, open mouth, black eyes, shirt, t-shirt, solo, male focus, upper body, yellow shirt, cracked wall, indoors, A digital illustration of a young boy with a frown on his face. The boy is wearing a yellow t-shirt and a brown hat. He is standing in front of a wall with a dark background." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#3
by AiAF - opened
- README.md +5 -0
- images/example_kgxzi9hoz.png +0 -0
README.md
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the background is pink.
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output:
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url: images/example_22x4hun9e.png
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the background is pink.
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output:
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url: images/example_22x4hun9e.png
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- text: >-
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Eefoj \(Artist\), @EefojLuk, @eefojsoup, illustration of a woman that is
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sitting in a bath tub
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output:
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url: images/example_kgxzi9hoz.png
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images/example_kgxzi9hoz.png
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