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
#5
by AiAF - opened
- README.md +7 -0
- images/example_a8c0g0qmz.png +0 -0
README.md
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is lit by floodlights.
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output:
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url: images/example_rwcochhc5.png
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---
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is lit by floodlights.
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output:
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url: images/example_rwcochhc5.png
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- text: >-
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Eefoj \(Artist\), @EefojLuk, @eefojsoup,1 woman with short blonde curly
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hair, black hoodie with a minimalistic cat design on the front, wearing with
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eyeliner, background is a street view of Newyork times square at night, neon
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signs in the background, it is snowing
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output:
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url: images/example_a8c0g0qmz.png
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---
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images/example_a8c0g0qmz.png
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