Type | |
Stats | 28,283 |
Reviews | (2,117) |
Published | Feb 11, 2023 |
Base Model | |
Trigger Words | figma |
Hash | AutoV2 6F6D687FE0 |
Note: I did not train these LoRA models myself. Original source: https://huggingface.co/stma/lora-dump
Recommended settings
Quick start
Model: AbyssOrangeMix2
LoRA weight: 0.6 (UNet: 0.6, TEnc: 0.25)
[realistic], [3d], (3dcg), ((octane render)), [fisheye]
in positive prompt for realismsimple background, grey background
in negative promptCLIP skip: 2
Sampler: DPM++ SDE Karras (Euler a recommended for other models)
EasyNegative in negative prompt
Usable
LoRA weight range: 0.2 - 1.15 (UNet: 0.35 - 1.15 TEnc: 0.2 - 1.0)
UNet is required for the style. UNet over 0.65 will look like an anime figure product. Too high UNet weight will melt details.
Lower TEnc weight will improve generalization. High TEnc will affect composition to look more like an anime figure product photo. Too high will fry the details.
Start with lower weight and increase as necessary. Requires more weight when mixed with TI embeddings and other LoRAs.
Figma
Trained on 5,746 images scraped from GoodSmile's international catalogue, including the discontinued products. All images were tagged with figma
first and the product name with figma
stripped out second, so an image from a product named "figma Hatsune Miku" would be tagged figma, hatsune miku
. All other tags came from the WD1.4 tagger. 3d
and realistic
tags seem to work well with it.
The alpha16 version is better at generalizing, while the 7e-5 version is better at capturing the figure-with-transparent-stand look.
Example images
Model
Counterfeit-V2.5 (TODO: update example images to AbyssOrangeMix2)
Textual inversion
Roxy Migurdia (character)
roxy-migurdia
Megumin (character)
megumin_1000
Char Turner (composition)
chartuner
EasyNegative
EasyNegative
Bad Prompt
bad_prompt
Additional LoRA
Yelan (charater)
yelan \(genshin impact\)
Torino Aqua (style)
torino aqua