rh-silvermoonmix-anima-evolved-v2.3-unet

中文 RunningHub API RunningHub International RunningHub China

Description

Field Content
Model Name rh-silvermoonmix-anima-evolved-v2.3-unet
Model Type UNET (text-to-video)
Platforms ComfyUI / RunningHub / Hugging Face
Author RunningHub-@nullnull
Original https://www.runninghub.ai/model/public/2093194766427545601
Try online https://www.runninghub.ai
https://www.runninghub.cn/runninghub-api-doc-en/

About this model

Fine-tuned on Anima with my "Evolved" training strategy. This strategy is good at:

Stable hands

Neutral art style to work with artist tags

Multiple characters

For instruction of using Anima, please refer to: https://civitai.red/models/2458426/anima

Recommended settings:

Sampling method: Euler a

CFG: 4-5

Start with no negative prompt. Sample images were generated without negative prompt.

Prefix artist with @. E.g. "@big chungus". You must put @ in front of the artist. The effect will be very weak if you don't

Sample images were created with Forge Neo (https://github.com/Haoming02/sd-webui-forge-classic/tree/neo), featuring native Anima support. Right-click and open any sample image in a new tab to download the original file with its generation metadata.

推荐设置:

采样方法:Euler a

CFG: 4-5

先尝试不使用负面提示词。示例图片都没有使用负面提示词。

在画师(或艺术家)名字前加上 @ 前缀。例如:“@big chungus”。你必须在画师名字前面加上 @,如果不这么做,效果会非常微弱。

示例图片由原生支持 Anima 的 Forge Neo (https://github.com/Haoming02/sd-webui-forge-classic/tree/neo) 生成。右键并在新标签页中打开任意示例图片,即可下载带有生成参数的原图。

This repository provides rh-silvermoonmix-anima-evolved-v2.3-unet weight files. You can load them on RunningHub.

Finetuned from: anima

Files

File Size Purpose
silvermoonmixAnima_v23.safetensors 3988 MiB UNET weights

License

Published by RunningHub on behalf of the author. Copyright remains with the author. Follow the original project or upstream license.

Training at RunningHub

Train models on RunningHub: https://www.runninghub.ai/page-model

Run Seedance 2.5 with RunningHub API: https://www.runninghub.ai/call-api/api-detail/2133100000000700025

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