Anima Base 1.0 Common 17-Workflow Production Toolbox

Watch the full video first if you want to understand the workflow logic quickly.This ComfyUI workflow is a practical Anima Base 1.0 all-in-one workflow collection designed for daily image generation, LoRA testing, image-to-image conversion, detail refinement, high-resolution output, hand repair, ControlNet guidance, post-processing, and prompt reverse engineering. Instead of providing only one single generation route, this workflow organizes common production needs into multiple complete pipelines, so creators can choose the right route for each task without rebuilding the graph from scratch.

The workflow is built around anima_baseV10.safetensors, qwen_3_06b_base.safetensors, and qwen_image_vae.safetensors. These core components are reused across different branches, giving users a consistent Anima Base environment for testing prompts, LoRAs, styles, image references, and enhancement methods. The design is especially useful for creators who often switch between text-to-image, character LoRA testing, style transfer, image repair, and high-resolution finishing.

The first route is a stable baseline text-to-image pipeline. It is the simplest and most reliable branch, suitable for testing prompt structure, composition, model behavior, and basic visual direction. Other branches expand from this foundation.

The LoRA route uses native LoRA loading instead of relying on external LoRA manager nodes. This makes the workflow more compatible with different platforms. Users can enable the LoRA branch, select local LoRA files, add trigger words into the positive prompt, and test character, clothing, or style LoRAs directly.

The image-to-image route is designed for style conversion and repainting. It can preserve the structure of an input image while redrawing it into an Anima-style output through controlled denoise. This is useful for turning sketches, low-quality images, screenshots, or outputs from other models into a cleaner Anima Base result.

The high-resolution branch uses a two-stage generation structure: first generate a smaller base image, then upscale the latent and resample at lower denoise. This can add more detail than simple pixel enlargement while still keeping the original composition mostly stable.

The workflow also includes repair and enhancement branches such as hand detection/detailing, optional ControlNet-style guidance, comparison previews, and post-processing modules. These are useful for fixing common AI image problems, strengthening structure, comparing before-and-after results, and preparing cleaner final outputs for publishing.

This workflow is designed as a daily production toolbox for Anima Base users. It is useful for prompt testing, LoRA testing, image conversion, detail repair, high-resolution generation, and workflow demonstrations. Instead of using many scattered workflows, creators can open one graph and choose the branch that matches the current task.

Main features:

- Anima Base 1.0 common workflow collection

- Stable text-to-image baseline

- Native LoRA loading branch

- Image-to-image and style transfer route

- Two-stage high-resolution latent refinement

- Hand repair and detailer support

- Optional ControlNet-style enhancement route

- Preview and SaveImage output

- Before-and-after comparison tools

- Post-processing and color adjustment branches

- Florence reverse prompt / regeneration route

- Designed for daily Anima production workflows

Suggested workflow:

Start with the basic text-to-image branch to test your prompt and composition. Once the visual direction is stable, switch to the LoRA branch if you need a character, clothing, or style LoRA. Use the image-to-image branch when you want to convert an existing picture into Anima style. Use the high-resolution branch when the composition is already good but needs more detail. Use the repair or post-processing branches only after the main image is acceptable.

⚙️ RunningHub Workflow

Try the workflow online right now — no installation required.

👉 Workflow: https://www.runninghub.ai/post/2057280790786039810?inviteCode=rh-v1111

If the results meet your expectations, you can later deploy it locally for customization.

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📺 Bilibili Updates (Mainland China & Asia-Pacific)

If you’re in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown.

📺 Bilibili Video: https://www.bilibili.com/video/BV1FhLz6JEgJ/

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⚙️ 在线体验工作流

现在就可以在线体验，无需安装。

👉 工作流： https://www.runninghub.ai/post/2057280790786039810?inviteCode=rh-v1111

打开上方链接即可直接运行该工作流，实时查看生成效果。

如果觉得效果理想，你也可以在本地进行自定义部署。

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📺 Bilibili 更新（中国大陆及南亚太地区）

如果你在中国大陆或南亚太地区，可以通过下方视频查看该工作流的实测效果与构思讲解。

📺 B站视频： https://www.bilibili.com/video/BV1FhLz6JEgJ/

我会在 夸克网盘 持续更新模型资源：

👉 https://pan.quark.cn/s/20c6f6f8d87b

这些资源主要面向本地用户，方便进行创作与学习。