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workflows/ZIT-AIO-Variance.json

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+        "# 📐 Resolution Presets\n\n## ⭐ Recommended (Tested)\n**1920×1088** - Wide cinematic\n\n## 🚀 Fast (Both Versions)\n512×512 • 512×768 • 768×768\n768×1024 • 1024×768\n\n## 📱 Standard HD\n832×1216 • 1024×1024 • 1216×832\n\n## 🎬 High Quality\n1024×1536 • 1536×1024\n\n## 🎥 2K Cinematic\n1920×1088 ⭐ • 2048×1152 • 1920×1080\n\n---\n\n💡 **Quick Tips:**\n- **Portrait:** 512×768, 832×1216, 1024×1536\n- **Landscape:** 1216×832, 1920×1088 ⭐, 2048×1152\n- **Square:** 1024×1024\n\n**1920×1088** tested on RTX 4060 8GB!\nWorks perfectly with both FP8 & BF16."
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+        "# 🚀 Z-Image-Turbo-AIO\n\n> **Ultra‑Fast Photorealistic Generation** — lightweight, ultra‑fast models tuned to produce photoreal outputs even on low VRAM GPUs.\n\n---\n\n## 📌 Quick overview\n\n* **Two optimized builds:** BF16 for maximum precision, FP8 for speed/efficiency.\n* **Designed to run on as little as 8 GB VRAM.**\n* **Natural‑language prompts work best.**\n\n---\n\n## 🔄 Versions\n\n| Badge | Version      |    VRAM   | Focus                                                                         |\n| ----: | :----------- | :-------: | :---------------------------------------------------------------------------- |\n|    🟢 | **BF16‑AIO** | **20 GB** | Maximum precision and detail. Great for archival‑quality renders.             |\n|    🟡 | **FP8‑AIO**  | **10 GB** | Speed and efficiency while keeping good quality — ideal for quick iterations. |\n\n> **Note:** Both versions are engineered to be usable on **8 GB VRAM** (with the right settings and host configuration).\n\n---\n\n## ⚙️ Recommended settings\n\n```yaml\n# Minimal recommended config\nsteps: 9\ncfg_scale: 1.0  # DON'T CHANGE\nsampler: res_multistep | euler_ancestral\nscheduler: simple | beta\nnegative_prompts: []  # NO negative prompts\n```\n\n* **Steps:** `9` — tuned for this workflow (fast but high quality).\n* **CFG (cfg_scale):** `1.0` — *do not change* (important for how the model balances guidance).\n* **Sampler:** `res_multistep` or `euler_ancestral` — try both to compare artifact/film grain.\n* **Scheduler:** `simple` or `beta` — user preference; `beta` may be slightly more stable with FP8.\n* **Negative prompts:** intentionally left empty — this workflow benefits from *positive* guiding prompts.\n\n---\n\n## 🎲 What's new in this workflow\n\n### 🌟 Seed Variance Enhancer\n\nA brand‑new node that **adds controlled diversity** to outputs while using the same prompt — perfect for batch generation when you want varied but consistent results.\n\n<details>\n<summary>Usage (expand for example)</summary>\n\n**Basic idea:** provide a base seed and a variance parameter. The node will generate multiple nearby seeds and produce visually distinct results while keeping prompt semantics stable.\n\n**Example (pseudocode):**\n\n```text\nInput prompt: \"Photorealistic portrait of an astronaut at sunset\"\nBase seed: 123456\nVariance: 0.8\nOutputs: seed 123455, 123457, 123469, ...\n```\n\nSee the guide node for detailed parameter descriptions and best practice ranges.\n\n</details>\n\n---\n\n## 📥 Downloads & quick links\n\n* **CivitAI:** [https://civitai.com/models/2173571?modelVersionId=2448013](https://civitai.com/models/2173571?modelVersionId=2448013)\n* **HuggingFace:** [https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO](https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO)\n* **Try Online:** [https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8](https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8)\n\n> Tip: check the model page for version notes and community example images.\n\n---\n\n## 🎯 Required custom nodes\n\nThese nodes are required (or strongly recommended) to replicate the workflow exactly:\n\n* [rgthree‑comfy](https://github.com/rgthree/rgthree-comfy)\n* [comfyui_image_metadata_extension](https://github.com/edelvarden/comfyui_image_metadata_extension)\n* [SeedVarianceEnhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer) ⭐ **NEW**\n\n---\n\n## 🧪 Examples & prompt tips\n\n> **Tip:** Natural language prompts get the best results. Keep prompts descriptive but concise.\n\n**Example prompts**\n\n```text\nPhotorealistic portrait of a person with cinematic rim lighting, shallow depth of field, 50mm lens — ultra detailed skin, natural color grading.\n\nPhotorealistic city street at golden hour, wet pavement reflecting neon signs, cinematic composition, ultra realistic.\n```\n\n**Quick prompt checklist:**\n\n* Subject + mood + lighting\n* Lens / camera (optional) for DOF/scale hints\n* Material/texture details (skin, fabric, metal)\n* One or two style references at most\n\n---\n\n## ⚠️ Compatibility notes\n\n* Although both builds are usable on **8 GB VRAM**, the exact performance depends on host OS, GPU drivers, and sampler/scheduler choices.\n* If you see OOMs, try reducing image resolution, switching sampler, or using FP8 build.\n\n---\n\n## 🧾 Changelog (high level)\n\n* **NEW:** Seed Variance Enhancer node integrated.\n* **TUNED:** Default step & cfg presets for low‑VRAM stability.\n\n---\n\n💡 **Natural language prompts work best!**\n\n---\n\n*Created with ❤️ for fast, photoreal generation — enjoy and share examples!*\n"
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+        "# 🎲 Seed Variance Enhancer\n\n**Adds diversity to outputs with same prompt!**\n\nCompensates for low seed variance in Z-Image Turbo by adding controlled random noise to text embeddings.\n\n---\n\n## ⚙️ Settings:\n\n### randomize_percent (50)\nHow many embedding values to modify.\n- **Lower (20-40):** Subtle variations\n- **Medium (50-60):** Balanced ⭐\n- **Higher (70-90):** Strong diversity\n\n### strength (15-30)\nHow much noise to add.\n- **Lower (10-20):** Minor changes\n- **Medium (20-30):** Good balance ⭐\n- **Higher (40-50):** Major changes\n\n### noise_insert\n**'noise on beginning steps'** ⭐ Recommended  \nUses noise only at start, then switches to original prompt.  \n\n**'noise on all steps'**  \nMore aggressive, reduces prompt adherence.  \n\n**'noise on ending steps'**  \nExperimental, for advanced users.\n\n### steps_switchover_percent (20)\nWhen to switch back to original embedding (only for 'beginning steps' mode).\n\n### seed (0 = random)\nIndependent seed for noise generation.\n- **0:** Random each time\n- **Fixed number:** Reproducible variations\n\n---\n\n## 💡 How It Works:\n\n1. Takes your prompt embedding\n2. Randomly modifies parts of it\n3. Creates more diverse outputs\n4. Each seed gives different results\n\n---\n\n## 🎯 Recommended Settings:\n\n**For Z-Image Turbo:**\n- randomize_percent: **50**\n- strength: **20-30**\n- noise_insert: **'noise on beginning steps'**\n- steps_switchover_percent: **20**\n\n**Note:** Longer, detailed prompts work better!\n\n---\n\n## ⚠️ Trade-offs:\n\n**Benefits:**\n✅ More diverse outputs per seed\n✅ Unexpected creative results\n✅ Discover model capabilities\n\n**Side effects:**\n❌ Slightly reduced prompt adherence\n❌ May affect text rendering\n❌ Higher settings = less control\n\n---\n\n## 📦 Installation:\n\n[SeedVarianceEnhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer)\n\nPlace in `ComfyUI/custom_nodes/`\n\n---\n\n**Tip:** Start with default settings, adjust based on results!"
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