Descriptions:
Meet HiDream-O1, a revolutionary image generation model that defies the traditional U-Net/VAE structure! 🤯 Unlike Stable Diffusion, HiDream-O1 uses a Unified Transformer to process text, pixels, and reference conditions in a single stage. No independent VAE, no external CLIP—just pure pixel-level power.
In this video, I’ll show you why the standard “Dev” and “Full” workflows might not be your best bet. I’ve discovered an optimized 28-step Euler setup that gives you Full-model quality with Dev-model speed. Whether you’re doing high-res poster design, complex text rendering, or multi-person layout control, this is the guide you need.
🔥 What you’ll master in this tutorial:
• 🧠 The Unified Transformer: Why HiDream-O1 is fundamentally different from SDXL or Flux.
• ⚙️ Best ComfyUI Workflow: My custom 28-step Euler setup for the perfect balance of speed and quality.
• ✍️ Ad & Poster Design: Testing long-text rendering and complex product packaging.
• 🎯 Layout Guidance: Using color-coded maps to place multiple reference faces in precise locations.
• 🛠️ Seam Smoothing: How to use the “Patch Seam Smoothing” node to avoid tile artifacts in 4MP renders.
#runninghub #HiDreamO1 #ComfyUI #ImageGeneration #UnifiedTransformer #PosterDesign #GraphicDesign #AITutorial #AIArt #TextRendering #RunningHub #HiDream #MachineLearning #StableDiffusionAlternative #AIPoster #4KImageAI #AI海报 #商业设计 #文字渲染 #图片生成 #人工智能 #工作流分享
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resource
model download：
https://huggingface.co/Comfy-Org/HiDream-O1-Image
online workflow
1：hidream_o1_image_t2i
https://www.runninghub.ai/post/2055131118483066881/?inviteCode=kol02-rh021
2：hidream_o1_image_ref
https://www.runninghub.ai/post/2055201577052450818/?inviteCode=kol02-rh021
Runninghub Fan Benefit: Register to get 1,000 RHB
https://www.runninghub.ai/?utm_source=kol02-RH021
workflow and prompt engineering download：
https://github.com/amao2001/ganloss-latent-space/tree/main/workflow/2026-05-15%20hidream-o1
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