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Anima Aesthetic 1.0b Text-to-Image Workflow

Updated: Jul 18, 2026

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Workflows
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Published

Jul 18, 2026

Base Model

Anima

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AutoV2
246CFAB0C5
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Followers - 508

508

Likes - 2803

2.8K

License:

Anima

The Anima Model is licensed by CircleStone Labs LLC. Copyright CircleStone Labs LLC. IN NO EVENT SHALL CIRCLESTONE LABS LLC BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

Built on NVIDIA Cosmos

40b35ebb29dcc4a8a58e2489cb3032ca.jpg

This workflow is for Anima Aesthetic 1.0b Text-to-Image. It is designed as an alternate aesthetic comparison version for Anima image generation. It should not be described as simply stronger than Anima Aesthetic 1.0. Its value is that it gives creators another aesthetic direction to compare against the main 1.0 model.

The workflow uses anima_aestheticV10b.safetensors as the main model, qwen_3_06b_base.safetensors as the text encoder, and qwen_image_vae.safetensors as the VAE. The pipeline remains clean and direct: text prompt, negative prompt, latent image, KSampler, VAE Decode, and Save Image.

The default setup is 40 steps, CFG 4.0, euler sampler, simple scheduler, and full denoise. Recommended use is similar to the 1.0 workflow: anime-style illustration, character art, cover images, stylized fantasy scenes, clean compositions, and polished visual assets. The difference is not workflow complexity, but the model’s aesthetic tendency and visual response.

This version is useful when you want to compare how two related Anima Aesthetic models handle the same prompt. You can use the same seed, same prompt, same size, and same sampling settings, then compare composition, line quality, color behavior, character design, texture density, and overall atmosphere.

The workflow is pure text-to-image only. It does not require reference images, masks, ControlNet, or image editing inputs. It is best used as a clean model comparison route and as an alternate aesthetic rendering option.

Main features:

  • Anima Aesthetic 1.0b text-to-image workflow

  • Alternate aesthetic comparison route

  • anima_aestheticV10b.safetensors model

  • qwen_3_06b_base.safetensors text encoder

  • qwen_image_vae.safetensors VAE

  • 40-step quality generation

  • CFG 4.0 setup

  • euler sampler

  • simple scheduler

  • 1024×1024 default latent size

  • Positive and negative prompt control

  • Pure text-to-image workflow

  • Suitable for model comparison, anime illustration, character art, and stylized image testing

Suggested workflow:

Use this workflow beside Anima Aesthetic 1.0 and compare results under the same prompt. Do not judge it only by speed. Look at aesthetic direction, color balance, character design, composition, background handling, and detail stability. If the output style fits your project better than 1.0, use it as the main rendering choice for that batch. If not, keep it as a comparison model for prompt testing.

⚙️ RunningHub Workflow

Try the workflow online right now — no installation required.
👉 Workflow: https://www.runninghub.ai/post/2075624296105504770?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/BV1rGNH6GEj2/

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If you find my content helpful and want to support future creations, you can buy me a coffee ☕.
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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/2075624296105504770?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/BV1rGNH6GEj2/

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。