Instructions to use AiAF/D-ART-18DART5_LoRA_Flux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/D-ART-18DART5_LoRA_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/D-ART-18DART5_LoRA_Flux1") prompt = "D-ART \\(Artist\\), @18dart5, @18dart3, @18dart2, @18dart1, illustration of a woman with blonde hair, wearing a black lace bra, She has a small silver heart-shaped pendant necklace around her neck. She is looking directly at the camera with a neutral expression. The background is a plain, light-colored wall. The image is high quality ." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#21
by AiAF - opened
- README.md +6 -0
- images/example_e45cmkj2c.png +3 -0
README.md
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url: images/example_raufzdchi.png
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curves.
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output:
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url: images/example_raufzdchi.png
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- text: >-
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D-ART \(Artist\), @18dart5, @18dart3, @18dart2, @18dart1,1 woman with dark
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green skin and large breasts, cinematic close up shot, black hair and blue
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eyes, she is standing outside in a botanical garden, day time, smile
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output:
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url: images/example_e45cmkj2c.png
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images/example_e45cmkj2c.png
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Git LFS Details
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