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# Overview
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<img src="https://huggingface.co/CCRss/flux-lora-models/resolve/main/anime/flux_dev_lora_akame_ver1/assets/Overview_1.png?raw=true">
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# Example 2
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<img src="https://huggingface.co/CCRss/flux-lora-models/resolve/main/anime/flux_dev_lora_akame_ver1/assets/example_2.png?raw=true">
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# Overview
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<img src="https://huggingface.co/CCRss/flux-lora-models/resolve/main/anime/flux_dev_lora_akame_ver1/assets/Overview_1.png?raw=true">
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Training Details:
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- Base model: [Flux-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev)
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- Trainin scripts: [SD-Scripts (kohya-ss) SD3 branch](https://github.com/kohya-ss/sd-scripts/tree/sd3?tab=readme-ov-file)
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- Dataset: 24 images of Akame from "akame_ga_kill" [dataset](https://huggingface.co/datasets/CCRss/flux_lora_datasets/tree/main/anime/akame_ga_kill/akame)
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- Hardware: 2 H100 GPUs
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- Duration: 4 hours
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- Epochs: 1000
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3 version of lora produced:
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- 600 epoch checkpoint
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- 800 epoch checkpoint
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- 1000 epoch checkpoint
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# Example 2
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<img src="https://huggingface.co/CCRss/flux-lora-models/resolve/main/anime/flux_dev_lora_akame_ver1/assets/example_2.png?raw=true">
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