Instructions to use crystantine/ShinMinAhFlux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use crystantine/ShinMinAhFlux 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("crystantine/ShinMinAhFlux") prompt = "A [trigger] woman with wavy dark brown hair, wearing an off-shoulder oversized brown knit sweater. She gazes softly toward the camera, slightly tilting her head, with her right hand gently brushing her hair. The lighting is warm, creating a cozy atmosphere." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#7
by crystantine - opened
- README.md +6 -0
- images/example_02rvutm83.png +0 -0
README.md
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drinking coffee, bright sunny day
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output:
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url: images/example_bn7y6cmgv.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: SHNMNAH
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license: other
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drinking coffee, bright sunny day
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output:
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url: images/example_bn7y6cmgv.png
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- text: >-
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SHNMNAH, An young SHNMNAH woman wearing luxury expensive outfits and bold
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makeups, standing in front of futuristic large house, half body shot
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photograph
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output:
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url: images/example_02rvutm83.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: SHNMNAH
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license: other
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images/example_02rvutm83.png
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