Instructions to use Keltezaa/Flux_P with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/Flux_P 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("Keltezaa/Flux_P") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
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by Keltezaa - opened
- README.md +5 -0
- images/example_g0tyuutes.png +3 -0
README.md
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features/traits/anatomy wearing a Victorian style corset and silk leggings
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output:
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url: images/example_x5fetnsnw.png
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base_model:
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- black-forest-labs/FLUX.1-dev
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instance_prompt: pussy vagina sex nsfw
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features/traits/anatomy wearing a Victorian style corset and silk leggings
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output:
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url: images/example_x5fetnsnw.png
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- text: >-
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photorealistic dynamic shot of a naked woman with accurate
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features/traits/anatomy wearing a Victorian style corset and silk leggings
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output:
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url: images/example_g0tyuutes.png
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base_model:
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- black-forest-labs/FLUX.1-dev
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instance_prompt: pussy vagina sex nsfw
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images/example_g0tyuutes.png
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Git LFS Details
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