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    Anima Triple-Sampling + ControlNet-LLLite + Hi-Res Upscale Workflow - v1.0
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    Anima 三次采样 + ControlNet-LLLite + 4K 高清放大重绘工作流


    Overview 概述

    English: A complete production pipeline for the Anima base model, built to solve Anima's two core weaknesses — soft detail and structural drift at high resolution. The workflow fuses three Anima checkpoints, applies two LoRA stacks, runs three sequential sampling passes with ControlNet-LLLite structural control, then performs a 4K Ultimate SD Upscale with a dedicated upscale model, finishing with RTX denoise/deblur and anime color grading. Designed for clean, high-detail, structurally-stable anime output.

    中文: 一套针对 Anima 底模的完整生产管线,专为解决 Anima 两大核心短板——细节偏软、高分辨率下结构漂移。工作流融合三个 Anima 底模、叠加两组 LoRA 栈、串联三次采样并配合 ControlNet-LLLite 结构控制,最后进行4K Ultimate SD Upscale 超分(专用放大模型),以 RTX 降噪/去模糊与动漫调色收尾。产出干净、高细节、结构稳定的动漫成品。


    Architecture 架构(三段式采样 + 4K 超分)

    English:

    • Stage 1 — Base Generation(一采): 40 steps, CFG 5, denoise 1.0, at 864×1536 (portrait) or 1536×864 (landscape).

    • Stage 2 — Latent Upscale & Redraw(二采): bicubic latent upscale ×1.5, then 40 steps at denoise 0.8.

    • Stage 3 — ControlNet-LLLite Guided Redraw(三采): 40 steps at denoise 0.8, guided by depth/lineart LLLite to lock structure and sharpen detail.

    • Stage 4 — 4K Ultimate SD Upscale(4K超分): 2× upscale with 4x-AnimeSharp model, 30 steps at denoise 0.05, tile 2304×1296 (full-image mode) for a clean high-res finish.

    • Post-processing: RTX Denoise → RTX Deblur → EasyColorCorrection (Anime Moody).

    中文:

    • 第一采——基础生成: 40 步、CFG 5、denoise 1.0,在 864×1536(竖版)或 1536×864(横版)生成初始图。

    • 第二采——潜空间放大重绘: bicubic 潜空间放大 1.5 倍,再以 denoise 0.8 采样 40 步。

    • 第三采——ControlNet-LLLite 引导重绘: denoise 0.8 采样 40 步,深度/线稿 LLLite 控制锁定结构、锐化细节。

    • 第四段——4K Ultimate SD Upscale: 4x-AnimeSharp 放大模型 2 倍超分,30 步、denoise 0.05、tile 2304×1296(整图模式),产出干净高分辨率成片。

    • 后处理: RTX 降噪 → RTX 去模糊 → EasyColorCorrection(Anime Moody 预设)。


    Key Features 核心特性

    English:

    1. Triple-checkpoint fusion — chosenMixAnima_v10 + anima_aestheticV11 + miaomiaoHarem_anima16, merged via ModelMergeSimple (0.6) + ModelMergeBlocks (input 0.9 / middle 0.2 / out 0.7) for layered control of structure, style and detail.

    2. Dual LoRA stacks — quality stack (masterpiece 0.9 + highres-aesthetic-boost 0.9 + rdbt 0.9 + light-concepts 0.6) + detail stack (rendering_detailer −0.3 + context_detailer 0.3).

    3. ControlNet-LLLite structural control — depth + lineart LLLite keep anatomy stable across all sampling passes.

    4. ReferenceLatent anchoring — preserves the generated image as a structural anchor during redraw.

    5. AuraFlow shift=3 — compensates Anima's native softness for sharper lines and richer texture.

    6. 4K Ultimate SD Upscale — dedicated 4x-AnimeSharp model + full-image tile mode for clean 2× upscale.

    7. Camera control node — azimuth/elevation/distance-driven camera prompt injection.

    8. RTX + color grading post-chain — cleans artifacts and applies an Anime Moody grade.

    中文:

    1. 三底模融合——chosenMixAnima_v10 + anima_aestheticV11 + miaomiaoHarem_anima16,经 ModelMergeSimple(0.6) + ModelMergeBlocks(input 0.9/middle 0.2/out 0.7) 分层控制结构、风格与细节。

    2. 双 LoRA 栈——质量栈(masterpiece 0.9 + highres-aesthetic-boost 0.9 + rdbt 0.9 + light-concepts 0.6)+ 细节栈(rendering_detailer −0.3 + context_detailer 0.3)。

    3. ControlNet-LLLite 结构控制——深度 + 线稿 LLLite 全程锁定解剖结构。

    4. ReferenceLatent 锚定——重绘时以已生成图为结构锚,防止漂移。

    5. AuraFlow shift=3——补偿 Anima 原生偏软,线条更锐、纹理更实。

    6. 4K Ultimate SD Upscale——专用 4x-AnimeSharp 模型 + 整图 tile 模式,干净 2 倍超分。

    7. 相机控制节点——方位角/俯仰角/距离驱动的相机提示词注入。

    8. RTX + 调色后处理链——清理伪影并套用 Anime Moody 动漫调色。


    Model & LoRA Dependencies 依赖清单

    Type 类型File 文件Weight 权重CheckpointchosenMixAnima_v10.safetensors(merged)Checkpointanima_aestheticV11.safetensors(merged)CheckpointmiaomiaoHarem_anima16.safetensors(merged)LoRAanima-base-1-masterpiece-v510.9LoRAanima-highres-aesthetic-boost0.9LoRArdbt_v2.1_base_anima_b10.9LoRAanima-base-1-light-concepts-v310.6LoRArendering_detailer_base10−0.3LoRAanima_context_detailer_base100.3CLIPmiaomiaoHarem_anima16_txt.safetensors—VAEqwen_image_vae.safetensors—Upscale Model4x-AnimeSharp.safetensors—LLLiteanima-lllite-depth-10.8LLLitecontrolnetLlliteAnima_lineart0.8


    Settings 参数配置

    English:

    • Sampler: euler_ancestral / Scheduler: normal

    • Steps: 40 (UltimateSDUpscale: 30) / CFG: 5

    • Denoise: Stage1 1.0 → Stage2 0.8 → Stage3 0.8 → 4K pass 0.05

    • Resolution: 864×1536 portrait / 1536×864 landscape

    • Latent upscale: bicubic ×1.5

    • UltimateSDUpscale: / tile 2304×1296 / padding 128

    • ModelMergeSimple: 0.6 / ModelMergeBlocks: input 0.9, middle 0.2, out 0.7

    • ModelSamplingAuraFlow: shift=3

    • Seed: fixed, with increment mode available

    中文:

    • 采样器:euler_ancestral / 调度器:normal

    • 步数:40(UltimateSDUpscale 用 30)/ CFG:5

    • Denoise:一采 1.0 → 二采 0.8 → 三采 0.8 → 4K 超分 0.05

    • 分辨率:864×1536 竖版 / 1536×864 横版

    • 潜空间放大:bicubic ×1.5

    • UltimateSDUpscale: / tile 2304×1296 / padding 128

    • ModelMergeSimple:0.6 / ModelMergeBlocks:input 0.9, middle 0.2, out 0.7

    • ModelSamplingAuraFlow:shift=3

    • 种子:固定,支持递增模式


    How to Use 使用步骤

    English:

    1. Install required custom node packs (rgthree, KJ nodes, LLLite sd-scripts, RTX nodes, EasyColorCorrection, Layer Utility, Ultimate SD Upscale).

    2. Download all checkpoints/LoRA/LLLite/upscale model files to correct folders.

    3. Load the workflow and fix missing model paths.

    4. Write your prompt (English tags + natural language works best with Anima's Qwen encoder).

    5. Run. Adjust LoRA weights, merge ratios and denoise as needed.

    中文:

    1. 安装所需自定义节点包(rgthree、KJ nodes、LLLite sd-scripts、RTX 节点、EasyColorCorrection、Layer Utility、Ultimate SD Upscale)。

    2. 下载全部底模/LoRA/LLLite/放大模型文件到对应文件夹。

    3. 加载工作流并修正缺失路径。

    4. 编写提示词(Anima 的 Qwen 编码器最适合英文标签 + 自然语言)。

    5. 运行,按需调整 LoRA 权重、融合比例和 denoise。

    Description

    FAQ

    Workflows
    Anima

    Details

    Downloads
    101
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/3/2026
    Updated
    9/4/2026
    Deleted
    -

    Files

    animaTripleSampling_v10.json

    Mirrors

    CivitAI (1 mirrors)