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turboX readme
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README.md
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- **Recommended Resolutions:**
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`1920x1024`, `1728x1152`, `1152x1728`, `1280x1664`, `1440x1440`
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- Powerful customized **fine-tuning performance** that can be widely used for **downstream production tasks**.
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## Advantages
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Using comfyui:
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To use this workflow in **ComfyUI**, download the JSON file and load it:
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### 🔧 Training Tools
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- **Kohya_ss:** [GitHub Repository](https://github.com/bmaltais/kohya_ss.git)
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- **Recommended Resolutions:**
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`1920x1024`, `1728x1152`, `1152x1728`, `1280x1664`, `1440x1440`
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- Powerful customized **fine-tuning performance** that can be widely used for **downstream production tasks**.
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- Powerful customized **fine-tuning performance** that can be widely used for **downstream production tasks**.
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- Achieve **8-step** image generation through strong distillation technology, with high-resolution images generated in just 5 seconds on a 3090-level GPU. You can use the [8steps lora](bokeh_8steps_turboX_lora.safetensors) with the base checkpoint or use the [8step checkpoint](bokeh_8steps_turboX.safetensors).
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## Advantages
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Using comfyui:
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To use this workflow in **ComfyUI**, download the JSON file and load it:
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[Base Model Workflow](bk_workflow.json)
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[8steps-TurboX Workflow](bokeh_turboX.json)
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### 🔧 Training Tools
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- **Kohya_ss:** [GitHub Repository](https://github.com/bmaltais/kohya_ss.git)
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