Instructions to use Disra/anime-lora-test-03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disra/anime-lora-test-03 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Disra/anime-lora-test-03") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
added grids
Browse files
README.md
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@@ -36,6 +36,15 @@ The main validation prompt used during training was:
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anime style digital art of a girl with long black hair and purple eyes wearing an unbuttoned white shirt that shows off her medium breasts, cleavage, and purple bra. She is also wearing black pleated skirt and is has a hand on her breasts while she looks up at the camera with a seductive pose.
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## Validation settings
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- CFG: `3.5`
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- CFG Rescale: `0.0`
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anime style digital art of a girl with long black hair and purple eyes wearing an unbuttoned white shirt that shows off her medium breasts, cleavage, and purple bra. She is also wearing black pleated skirt and is has a hand on her breasts while she looks up at the camera with a seductive pose.
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```
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# Example Images
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Base flux - no lora - are on top, with the lora are on the bottom ( same promt and seed )
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The last 2 grids have the same prompt, except the last one is 1.5x strength.
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## Validation settings
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- CFG: `3.5`
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- CFG Rescale: `0.0`
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