Instructions to use obann001/Emma_Vaganova with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use obann001/Emma_Vaganova 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("obann001/Emma_Vaganova") prompt = "Portrait of a woman, medium brown wavy hair, natural warm skin tone. Style of 3mm@. Raw photo, soft daylight, no over-processed look." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#1
by obann001 - opened
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- README.md +13 -2
- images/example_a1t4vrjl4.png +3 -0
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README.md
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library_name: diffusers
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widget:
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- text: >-
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Portrait of a woman, medium brown wavy hair, natural warm skin tone.
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---
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# Emma Vaganova — Flux LoRA (rank 32)
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library_name: diffusers
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widget:
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- text: >-
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Portrait of a woman, medium brown wavy hair, natural warm skin tone. Style
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of 3mm@. Raw photo, soft daylight, no over-processed look.
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- text: >-
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raw cinematic photo of two beautiful young women are dancing and singing on
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a sunny day. They are both wearing white crop tops and light-colored jeans.
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The woman on the left has curly hair and is holding a phone. The woman on
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the right has long wavy medium brown blonde hair with very blonde eyebrows,
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detailed eyebrows and is gesturing with her hands as she sings. The
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background is a bright blue sky with some white railings visible. Natural
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lighting no over-contrast, no over-processed. Style of 3mm@.
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output:
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url: images/example_a1t4vrjl4.png
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---
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# Emma Vaganova — Flux LoRA (rank 32)
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images/example_a1t4vrjl4.png
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Git LFS Details
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