UltraReal Fine-Tune v2 - V2PRNDMFP16GGUF-11GB

UltraReal Fine-Tune v2

CHECKPOINT
Original


Updated:

What's New in v2.0?

  • Enhanced Anatomy: Hands, feet, and poses have seen major improvements, offering more natural and accurate results. Say goodbye to overly distorted limbs!

  • Improved Textures & Quality: Upgraded skin details, richer textures, and sharper results overall. Blurred images still happen occasionally, but much less frequently than in the previous version or when using LoRAs alone.

  • Improved Text Rendering: Efforts have been made to improve the generation of text in images, and it’s much better than before. However, artifacts can still occur, and strange symbols might sometimes appear instead of readable words. This remains a work in progress.

  • Expanded Dataset: A larger and more diverse dataset (1800 images) introduces better balance across styles, lighting, and compositions.

Known Limitations

  • NSFW Capabilities: Still a weak area in this version. However, a minor fine-tune focusing specifically on NSFW content is already in the works.

Tips for Optimal Results

  • Sampler: Use DPM++ 2M samplers for smooth and consistent outputs.

  • Steps: Aim for 30–50 steps to capture finer details without over-processing.

  • Scheduler: Beta Scheduler remains the best choice for this checkpoint. Prompting Tips

    The best prompting style involves complex prompts with clear, comma-separated phrases. While you can get creative with storytelling prompts, unnecessary descriptions like “this crap added more vintage to her style” won’t improve the results. Keep it concise and descriptive, focusing on essential visual details for the best output.

Version Detail

FLUX.1

Project Permissions

    Use Permissions

  • Use in TENSOR Online

  • As a online training base model on TENSOR

  • Use without crediting me

  • Share merges of this model

  • Use different permissions on merges

    Commercial Use

  • Sell generated contents

  • Use on generation services

  • Sell this model or merges

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