This workflow is for KJ Structured Prompt Instant Model. It is designed for creators who want to use Ideogram 4 inside ComfyUI with a structured prompt-building system instead of writing a loose one-line prompt manually.
The workflow uses Ideogram4-instant_int8-convrot-simple.safetensors as the main model, qwen3vl_8b_fp8_scaled.safetensors as the Ideogram 4 text encoder, and flux2-vae.safetensors as the VAE. The key node is KJ Ideogram 4 Prompt Builder, which helps organize the prompt into structured fields such as subject description, background, style, aesthetics, lighting, medium, color palette, and spatial object boxes.
The main value of this workflow is speed and structure. The Instant model is suitable for fast creative testing, poster concept generation, ultrawide image composition, fashion visuals, commercial-style images, and layout-driven prompt experiments. Instead of only relying on natural language, the KJ Prompt Builder lets you describe the image in a more controlled way, including object placement, color relationships, and panoramic composition.
The workflow is set to a 2048×880 ultrawide canvas. The example setup focuses on a Y2K cyber fashion photo with an adult woman, silver vest, white cap, mini pleated skirt, metallic accessories, neon arcade interior, wide-angle perspective, purple-blue lighting, and flash photography. This makes it a useful benchmark for testing Ideogram 4’s ability to preserve fashion details, composition, and ultrawide background extension.
Main features:
Ideogram 4 Instant single-model workflow
KJ Ideogram 4 Prompt Builder support
Structured prompt field control
2048×880 ultrawide output
qwen3vl_8b_fp8_scaled.safetensors text encoder
flux2-vae.safetensors VAE
Ideogram4-instant int8-convrot model route
CFGOverride support
8-step fast generation
CFG 1 setup
euler sampler
normal scheduler
Suitable for poster prompts, fashion images, commercial visuals, and ultrawide composition testing
Suggested workflow:
Use this workflow when you want fast Ideogram 4 testing with a more organized prompt structure. Start by filling the KJ Prompt Builder fields clearly: describe the main subject, background, style, aesthetics, lighting, medium, palette, and any important object placement. Keep the subject and background roles separate. If the output loses detail, make the object description more explicit. If the layout becomes messy, simplify the bounding-box elements and reduce unnecessary decorations.
⚙️ RunningHub Workflow
Try the workflow online right now — no installation required.
👉 Workflow: https://www.runninghub.ai/post/2078109820451917826?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/BV1BJNd6vE27/
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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/2078109820451917826?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/BV1BJNd6vE27/
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。