<div data-youtube-video="https://youtu.be/ShiAjBa8EXc"><iframe src="https://www.youtube.com/embed/ShiAjBa8EXc" width="853" height="480" allowfullscreen></iframe></div> 
 
This is a focused image-to-image workflow for Anima Aesthetic 1.1. It is meant for situations where you already have a reference image, rough concept, generated draft, or composition sketch and want to redraw it into a cleaner anime-style result while preserving the broad structure. Instead of starting from an empty latent, the workflow brings an input image into the latent space and lets the prompt guide the redraw. That makes it useful for refining pose, costume, lighting, character atmosphere, and overall illustration quality without losing the original layout too quickly. 
 
The inspected graph includes a LoadImage and VAEEncode route, Qwen Image CLIP, Qwen Image HDR VAE, and an Anima Aesthetic V1.1 model selection path. The active sampling route uses a 31-step er_sde/simple style pass with denoise around 0.70, which is strong enough to restyle and improve the input while still giving the source image influence. The Anima Turbo LoRA node appears in the file but is bypassed, so this preview does not describe it as an active speed LoRA workflow. The strength of this setup is control through the input image rather than through a large stack of auxiliary control nodes. 
 
Main features: 
 
- Image-to-image redraw workflow for Anima Aesthetic 1.1 
- Uses source image guidance through LoadImage and VAEEncode 
- Qwen Image CLIP text encoding 
- Qwen Image HDR VAE route 
- 31-step sampling path observed 
- Denoise around 0.70 for visible but controlled transformation 
- Useful for rough drafts, composition reuse, and style refinement 
- Keeps the workflow simpler than a full ControlNet stack 
- Good for anime character polishing and illustration cleanup 
- Turbo LoRA is present but bypassed, so it is not advertised as active 
- Suitable for online testing before local customization 
- Designed for users who want controlled redraws rather than pure txt2img 
 
Suggested workflow: 
 
Load a source image with a strong silhouette and clear subject. Write the prompt as a direction for what the image should become, not as a full replacement for the source. If you want to preserve the original structure, reduce denoise; if you want a more dramatic redraw, increase it slowly and rerun with the same image until the character and composition reach the right balance. 
 
⚙️ RunningHub Workflow 
 
Try the workflow online right now — no installation required. 
👉 Workflow: https://www.runninghub.ai/post/2078721264412741633?inviteCode=rh-v1111 
 
If the results meet your expectations, you can later deploy it locally for customization. 
 
🎁 Fan Benefits: Register to get 1000 points + daily login 100 points — enjoy 4090 performance and 48 GB super power! 
 
📺 Bilibili Updates (Mainland China &amp; 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/BV1xJKB6vEfp/ 
 
☕ Support Me on Ko-fi 
 
If you find my content helpful and want to support future creations, you can buy me a coffee ☕. 
Every bit of support helps me keep creating — just like a spark that can ignite a blazing flame. 
👉 Ko-fi: https://ko-fi.com/aiksk 
 
💼 Business Contact 
 
For collaboration or inquiries, please contact aiksk95 on WeChat. 
 
⚙️打开下方链接即可在线体验，无需安装。 
👉 工作流： https://www.runninghub.ai/post/2078721264412741633?inviteCode=rh-v1111 
如果觉得效果理想，你也可以在本地进行自定义部署。 
 
🎁 粉丝福利： 注册即送 1000 积分，每日登录 100 积分，畅玩 4090 体验 48 G 超级性能！ 
 
📺 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/BV1xJKB6vEfp/ 
 
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。

Anima 1.1 Image-to-Image Workflow

<div data-youtube-video="https://youtu.be/ShiAjBa8EXc"></div> 
 
This is a focused image-to-image workflow for Anima Aesthetic 1.1. It is meant for situations where you already have a reference image, rough concept, generated draft, or composition sketch and want to redraw it into a cleaner anime-style result while preserving the broad structure. Instead of starting from an empty latent, the workflow brings an input image into the latent space and lets the prompt guide the redraw. That makes it useful for refining pose, costume, lighting, character atmosphere, and overall illustration quality without losing the original layout too quickly. 
 
The inspected graph includes a LoadImage and VAEEncode route, Qwen Image CLIP, Qwen Image HDR VAE, and an Anima Aesthetic V1.1 model selection path. The active sampling route uses a 31-step er_sde/simple style pass with denoise around 0.70, which is strong enough to restyle and improve the input while still giving the source image influence. The Anima Turbo LoRA node appears in the file but is bypassed, so this preview does not describe it as an active speed LoRA workflow. The strength of this setup is control through the input image rather than through a large stack of auxiliary control nodes. 
 
Main features: 
 
- Image-to-image redraw workflow for Anima Aesthetic 1.1 
- Uses source image guidance through LoadImage and VAEEncode 
- Qwen Image CLIP text encoding 
- Qwen Image HDR VAE route 
- 31-step sampling path observed 
- Denoise around 0.70 for visible but controlled transformation 
- Useful for rough drafts, composition reuse, and style refinement 
- Keeps the workflow simpler than a full ControlNet stack 
- Good for anime character polishing and illustration cleanup 
- Turbo LoRA is present but bypassed, so it is not advertised as active 
- Suitable for online testing before local customization 
- Designed for users who want controlled redraws rather than pure txt2img 
 
Suggested workflow: 
 
Load a source image with a strong silhouette and clear subject. Write the prompt as a direction for what the image should become, not as a full replacement for the source. If you want to preserve the original structure, reduce denoise; if you want a more dramatic redraw, increase it slowly and rerun with the same image until the character and composition reach the right balance. 
 
⚙️ RunningHub Workflow 
 
Try the workflow online right now — no installation required. 
👉 Workflow: https://www.runninghub.ai/post/2078721264412741633?inviteCode=rh-v1111 
 
If the results meet your expectations, you can later deploy it locally for customization. 
 
🎁 Fan Benefits: Register to get 1000 points + daily login 100 points — enjoy 4090 performance and 48 GB super power! 
 
📺 Bilibili Updates (Mainland China &amp; 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/BV1xJKB6vEfp/ 
 
☕ Support Me on Ko-fi 
 
If you find my content helpful and want to support future creations, you can buy me a coffee ☕. 
Every bit of support helps me keep creating — just like a spark that can ignite a blazing flame. 
👉 Ko-fi: https://ko-fi.com/aiksk 
 
💼 Business Contact 
 
For collaboration or inquiries, please contact aiksk95 on WeChat. 
 
⚙️打开下方链接即可在线体验，无需安装。 
👉 工作流： https://www.runninghub.ai/post/2078721264412741633?inviteCode=rh-v1111 
如果觉得效果理想，你也可以在本地进行自定义部署。 
 
🎁 粉丝福利： 注册即送 1000 积分，每日登录 100 积分，畅玩 4090 体验 48 G 超级性能！ 
 
📺 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/BV1xJKB6vEfp/ 
 
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。

02_anima-1-1-image-to-image-workflow.json

v1.0

# Anima Aesthetic 1.1 - Image-to-image 
 
**Creator:** AI-KSK · **Collection:** Video 279 / ten-workflow Anima Aesthetic 1.1 episode 
 
**Workflow file:** `Anima+Aesthetic+1.1｜图生图.json` · **Cover file:** `ChatGPT Image 2026年7月19日 12_25_56 (4).png` 
 
## What this workflow does 
 
Qwen3VLProcessor captioning, image_scale_pixel_v2, 31 steps er_sde at denoise 0.7 with the turbo LoRA. 
 
## How to use it 
 
Open the graph on RunningHub with invite code `rh-v1111`: https://www.runninghub.ai/post/2078374866838974465/?inviteCode=rh-v1111 
 
The JSON is also distributed unchanged in the AI-KSK Hugging Face / ModelScope collection for this episode. Model files, LoRAs and detector weights are not bundled. 
 
## Limits 
 
Results depend on prompt, seed, sampler settings and the base model version. Third-party LoRAs keep their own licenses. No timing or quality benchmark was run for this release. 
 
## Tutorial 
 
**[Watch the complete ten-workflow YouTube tutorial](https://www.youtube.com/watch?v=ShiAjBa8EXc)** · Bilibili: https://www.bilibili.com/video/BV1xJKB6vEfp 
 
&lt;div class="data-youtube-video"&gt;&lt;iframe src="https://www.youtube.com/embed/ShiAjBa8EXc" width="560" height="315" frameborder="0" allowfullscreen&gt;&lt;/iframe&gt;&lt;/div&gt;

Files with SHA256: 15e283a406e5fdc18cefe5cc285349a663a66522ed0b1518c4383c2d78ecd493