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README.md
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# Best-Models-For-ComfyUI
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> A curated vault of the most essential, powerful, and optimized models for ComfyUI users. Flux1, SDXL, ControlNets, Clips, GGUFs—all in one place. Carefully organized. Pre-tested. One-click ready.
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---
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## 🪜 What's Inside
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This repo is not a chaotic dumping ground. It’s a **purposeful collection** of the most important ComfyUI-compatible models:
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### Flux1
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- **Unet Models**: Dev, Schnell, Depth, Canny, Fill
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- **GGUF Versions**: Q3, Q5, Q6 for each major branch
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- **Clip + T5XXL** encoders (standard + GGUF versions)
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- **Loras**: Only when there's actual value (e.g. not bloated or redundant)
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### SDXL
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- **Top Models** from Civitai (Realism, Stylized, Experimental)
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- **Base + Refiner** official models
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- **ControlNets**: Depth, Canny, OpenPose, Normal, etc.
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### Extra
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- VAE, upscalers, and anything required to support workflows
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---
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## 🏋️ Unet Recommendations (Based on VRAM)
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| VRAM | Use Case | Model Type |
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|------|----------|-------------|
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| 16GB+ | Full-quality FP8 | flux1-dev-fp8.safetensors |
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| 12GB | Balanced Q5_K_S | GGUF flux1-dev-Q5_K_S.gguf |
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| 8GB | Light Q3_K_S | GGUF flux1-dev-Q3_K_S.gguf |
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GGUF models are significantly lighter and designed for **low-VRAM** systems.
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## 🧠 T5XXL Recommendations (Based on Ram)
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| System RAM | Use Case | Model Type |
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|------------|----------|-------------|
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| 64GB | Max quality | t5xxl_fp16.safetensors |
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| 32GB | High quality (can crash if multitasking) | t5xxl_fp16.safetensors |
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| 16GB | Balanced | t5xxl_fp8_scaled.safetensors |
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| <16GB | Low-memory / Safe mode | GGUF Q5_K_S or Q3_K_S |
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> ⚠️ These are **recommended tiers**, not hard rules. RAM usage depends on your active processes, ComfyUI extensions, batch sizes, and other factors.
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> If you're getting random crashes, try scaling down one tier.
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---
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## 🏛 Folder Structure (Flux1 Only)
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```
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Flux1/
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├─ unet/
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│ ├─ Dev/
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│ │ ├─ flux1-dev-fp8.safetensors
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│ │ └─ GGUF/
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│ ├─ Schnell/
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│ ├─ Depth/
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│ ├─ Canny/
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│ └─ Fill/
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├─ clip/
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│ ├─ t5xxl_fp16.safetensors
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│ ├─ GGUF/
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│ └─ ...
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├─ loras/
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```
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---
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## 📈 Model Previews (Coming Soon)
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We will add a single grid-style graphic showing example outputs:
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- **Dev vs Schnell**: Quality vs Speed
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- **Depth / Canny / Fill**: Source image → processed map → output
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- **SDXL examples**: Realism, Stylized, etc.
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All preview images will be grouped into a single efficient visual block for each group.
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---
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## 📢 Want It Even Easier?
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Skip the manual downloads.
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🎁 **[Patreon.com/MaxedOut](https://patreon.com)** — Get:
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- One-click installers for all major Flux & SDXL workflows
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- Organized ComfyUI folders built for beginners and pros
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- Specialized templates (e.g. Mega Flux, Tiled Composites, Realistic Portraits)
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- Behind-the-scenes model picks and tips
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---
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## ❓ FAQ
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**Q: Why not every GGUF?**
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A: Because Q3, Q5, and Q6 cover the most meaningful range. No bloat.
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**Q: Are these the official models?**
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A: Yes. Most are sourced directly from creators, or validated mirrors.
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**Q: Will this grow?**
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A: Yes. But only with purpose.
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---
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## ✨ Final Thoughts
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You shouldn’t need to hunt through 12 Discord servers and 6 Civitai pages just to build your ComfyUI folder.
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This repo fixes that.
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**The Best Models. For ComfyUI. In One Place.**
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