Watch the full video first if you want to understand the workflow logic quickly.This ComfyUI workflow is designed for Anima Base 1.0 enhancement node comparison, A/B testing, and practical model behavior analysis. Instead of only showing a finished generation result, this workflow is built like a controlled experiment. Each group contains an A baseline and a B experimental branch, making it easier to judge whether a specific node actually improves quality, stability, speed, or low-step performance.
The workflow uses anima_baseV10.safetensors as the base model, qwen_3_06b_base.safetensors as the Qwen Image CLIP text encoder, and qwen_image_vae.safetensors as the VAE. The testing rule is strict: within each A/B group, the model file, CLIP, VAE, positive prompt, negative prompt, seed, resolution, sampler, scheduler, steps, and CFG are kept the same. The A branch is the clean baseline. The B branch only adds the target test node. This makes the comparison much more meaningful than casual prompt testing.
The workflow is divided into two major categories. The D series is designed for distilled / Turbo low-step testing, using steps=8 and CFG=1. This section is useful for testing Turbo LoRA, NAGuidance, and CFGNorm under fast generation conditions. Turbo LoRA is tested to see whether it can compensate for low-step quality loss. NAGuidance is tested to see whether negative concepts can still affect generation when CFG is very low. CFGNorm is tested to observe whether it improves color, edge stability, and composition under Turbo-style sampling.
The N series is designed for non-distilled standard CFG workflows, using steps=40 and CFG=4. This section tests CFGZeroStar, RescaleCFG, and SageAttention. CFGZeroStar is useful for observing changes in classifier-free guidance behavior. RescaleCFG is tested to see whether it can reduce overexposure, over-saturation, color damage, or CFG-related image collapse. SageAttention is treated mainly as a performance and attention acceleration test rather than a style enhancement node. The correct result should stay close to the baseline while improving speed or memory behavior.
This workflow is especially useful for creators who want to understand which nodes are actually worth using in Anima Base production. It helps separate real improvement from psychological bias. By comparing A and B under controlled conditions, users can decide whether a node is useful for Turbo workflows, standard workflows, low-step generation, quality recovery, stability control, or performance acceleration.
Main features:
- Anima Base 1.0 enhancement node comparison workflow
- Strict A/B testing structure
- Unified model, CLIP, VAE, prompt, seed, size, sampler, scheduler, steps, and CFG
- Distilled / Turbo low-step test group
- Standard non-distilled CFG test group
- Turbo LoRA comparison
- NAGuidance comparison
- CFGNorm comparison
- CFGZeroStar comparison
- RescaleCFG comparison
- SageAttention performance comparison
- Designed for practical workflow decision-making
Suggested workflow:
Start with one test group only. Compare the A baseline and B experimental output side by side. Do not change prompt, seed, resolution, or sampler while testing. For Turbo-style workflows, focus on the D series. For standard higher-step workflows, focus on the N series. Judge the results by image quality, prompt adherence, anatomy stability, color control, edge quality, generation speed, VRAM usage, black image risk, and whether the output drifts too far from the baseline.
⚙️ RunningHub Workflow
Try the workflow online right now — no installation required.
👉 Workflow: https://www.runninghub.ai/post/2057387404713095169?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/BV1jALa6xEqH/
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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/2057387404713095169?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/BV1jALa6xEqH/
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。
