Instructions to use Keltezaa/meg-ryan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/meg-ryan 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/meg-ryan") prompt = "photo of a female, having a coffee at a diner, short blonde hair,, smiling, happy," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example (#2)
Browse files- Add generated example (82bb7701a04371c3df27072993b4bc92aae130ab)
- README.md +6 -0
- images/example_h3h075rb8.png +0 -0
README.md
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standing next to an F-15 Jet plane
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output:
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url: images/example_efdmy740s.png
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---
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standing next to an F-15 Jet plane
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output:
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url: images/example_efdmy740s.png
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- text: >-
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color photo, vibrant colours, realistic photo of Celebrity Meg Ryan age 18,
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A young movie star, wearing a pilot jacket, standing next to an F-15 Jet
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plane
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output:
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url: images/example_h3h075rb8.png
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---
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images/example_h3h075rb8.png
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