Instructions to use Nishitbaria/Anime-style-flux-lora-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nishitbaria/Anime-style-flux-lora-Large 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("Nishitbaria/Anime-style-flux-lora-Large") prompt = "an anm young boy sitting under a large sakura tree, wearing traditional festival attire, cherry blossoms gently falling around him, peaceful smile, evening sky with vibrant hues." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example (#3)
Browse files- Add generated example (f62f07143781d2cb99c1c788591b7dbfa6344dbe)
- README.md +6 -0
- images/example_0vyad4135.png +0 -0
README.md
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grass.
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output:
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url: images/example_1l93qqd0r.png
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---
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grass.
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output:
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url: images/example_1l93qqd0r.png
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- text: >-
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an anm quiet residential street at dawn, soft orange sunlight peeking over
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the rooftops, dew-covered flowers along the roadside, a gentle peaceful
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mood.
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output:
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url: images/example_0vyad4135.png
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---
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images/example_0vyad4135.png
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