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NIJIGIRL

1.7k
incapaz de descargar
24
9
CGI styleHand-DrawnAnimeGirlSpace & SceneElement BoostMecha
Actualizado recientemente: 24/07/15Publicado por primera vez: 24/05/24
CGI style,Hand-Drawn,Anime,Checkpoint,SD 1.5Image info
CGI style,Hand-Drawn,Anime,Checkpoint,SD 1.5Image info
CGI style,Hand-Drawn,Anime,Checkpoint,SD 1.5Image info
CGI style,Hand-Drawn,Anime,Checkpoint,SD 1.5Image info
CGI style,Hand-Drawn,Anime,Checkpoint,SD 1.5Image info
CGI style,Hand-Drawn,Anime,Checkpoint,SD 1.5Image info
CGI style,Hand-Drawn,Anime,Checkpoint,SD 1.5Image info

Please try more horizontal versions~This time, the horizontal version has been greatly enhanced. Why use a vertical version for the cover? Because the horizontal version looks too small when uploaded. Let's have fun with card draw entertainment.

Lowering negative weighting can increase the stroke,

Don't set the sampling steps too low, leave others as default, you don't have to write a negative, either. The output image will be the same, just flatter. Remember to enable high-resolution repair.

Positive: If you can't draw, you can leave it blank or refer to the example image, pure card draw.

Recommended negative attributes (Red are optional, Black are also optional, recommended for newcomers to copy and paste): (worst quality:1.6), (low quality:1.5), (normal quality:1.6), low resolution, watermark, low resolution, bad anatomy, bad hands, text error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, extra legs, cleavage, bunny suit, armor, cleavage, badhandv4, leather suit, DTON, extra hair, (nsfw:2)

For the remaining parameters, use as you like.

Quality words (worst quality:1.6), (low quality:1.5), (normal quality:1.6) can be set to 2.

All materials are generated by NIJI6, featuring a selection of character styles, familiar at 1.5, with a different taste. Come and play.

Let's have a rant: Training this model was the most frustrating one, preparations started early last year, with pure wild training. This time, the materials were divided into batches, DB and Lora were finally merged. Initially, around 200,000 materials were trained (yes, that's 200,000), after two rounds of training, started the process of elimination (mainly because it was too slow). The unlucky kids took the remaining 24,000 materials. Half were given to Lora, and the other half continued with DB, and finally managed to come up with a result, so everyone can try it out first.

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Verificado:2024/05/24
V1.21
ExclusivoDetalles
Tipo
Checkpoint
Recuento de generación en línea
1.7k
Descargas
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Algoritmo base
SD 1.5
Palabras clave
DTON,NIJI6
高频词汇,因为还有niji5的素材没弄完,还有style expressive也是
Licencia
Se puede generar en línea
No se puede fusionar
Licencia ComercialReglas de Uso Comercial
Las imágenes generadas no pueden usarse con fines comerciales
Los modelos no se pueden revender o vender como modelos fusionados
*El alcance de la licencia está establecido por el creador, los usuarios deben utilizar según los requisitos y estándares

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