This is the clean text-to-image baseline workflow for Anima Aesthetic 1.1. It is the best starting point in this set if you want to test prompts, seeds, composition ideas, and the general model style before moving into upscale, detailer, image-to-image, or edit branches. The workflow is intentionally simpler than the other versions: it focuses on prompt input, model loading, sampling, VAE decode, preview, and save. That makes it useful as a reference graph for people who want to understand the basic Anima generation path before adding more control layers.

The inspected workflow includes Qwen Image CLIP, Qwen Image HDR VAE, a Flux-style resolution selector, EmptyLatentImage, a 30-step sampler route, and an Anima Aesthetic V1.1 model-name broadcaster in the graph. One thing to review before public upload: the inspected UNETLoader widget appears empty in the exported JSON, even though the model-name broadcaster references `anima_aestheticV11.safetensors`. The Civitai copy therefore describes the workflow as an Anima-oriented baseline and avoids overclaiming a hidden model path. For users, the main practical point is simple: set the model slot correctly, write a clear prompt, and use this as the foundation for testing the aesthetic.

Main features:

- Baseline text-to-image workflow for Anima Aesthetic 1.1
- Simple graph for prompt and seed testing
- Qwen Image CLIP text encoder
- Qwen Image HDR VAE path
- Flux-style resolution selector
- Empty latent generation route
- 30-step sampler route observed
- Good starting point before upscale or detailer workflows
- Useful for anime illustration prompt development
- Clean structure for beginners to modify
- Anima Aesthetic V1.1 broadcaster reference observed
- Local UNET slot should be verified before upload

Suggested workflow:

Use this workflow first when testing a new prompt style. Start with a direct subject, composition, and lighting description, then adjust seed and CFG before adding extra nodes. After you find a stable look, move the same prompt into the 1.5x upscale, three-stage render, or detailer workflows depending on whether you need more resolution, polish, or local repair.

⚙️ RunningHub Workflow

Try the workflow online right now — no installation required.
👉 Workflow: https://www.runninghub.ai/post/2078374989396717570?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/BV1xJKB6vEfp/

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⚙️打开下方链接即可在线体验，无需安装。
👉 工作流： https://www.runninghub.ai/post/2078374989396717570?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。

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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/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。