Detailifier - SD3.5/Flux/SDXL/Pony/(SD1.5) - Flux V1 (V5.0 Dataset)
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<lora:detailer_flux_v1:1>
Empfohlene Parameter
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Empfohlene Hires (Hochauflösungs-) Parameter
upscale
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Tipps
Use the weak version for more control and stability across styles.
The strong version enhances fine details but may risk inconsistencies.
Upscaling at 1.5x to 2x with full strength and 30-60 steps improves details noticeably.
Most example images were generated via txt2img without editing, minor issues may appear.
This model is focused on improving the details in faces, skin, clothing, fur, and materials. It performs well in both txt2img and img2img/upscaling workflows.
Flux Model v2 - Weak vs. Strong:
The weak version is more flexible, allowing for a wide range of outputs.
The strong version enhances details more dramatically but has a higher risk of inconsistencies.
Both versions have their pros and cons. The strong model can really make details stand out, while the weak version offers more control and stability across different styles.
Recommended Settings:
CFG: 2.0 - 2.5
Steps: 20 - 30
SDXL/Pony:
Upscaling (1.5x - 2x) really brings out the fine details. I’ve personally had great results with full strength, but anything from 0.3 to 1 with 30 to 60 steps can make a noticeable difference.
Recommended Settings:
CFG: 2.0 - 7.0
Steps: 30 - 60
As a heads-up, most of the provided images (except for upscaled ones) were generated through txt2img without any editing, so there may be a few minor issues visible here and there.
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