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