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--- |
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license: other |
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tags: |
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- comfyui |
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- flux |
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- sdxl |
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- gguf |
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- stable-diffusion |
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- t5xxl |
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- controlnet |
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- unet |
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- vae |
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- model-hub |
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- one-click |
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--- |
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> ⚠️ **Work in Progress** |
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> This repo is actively being developed. Especially the the model card. Use as you see fit but know it's not considered finished yet. |
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# ComfyUI-Starter-Packs |
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> A curated vault of the most essential models for ComfyUI users. Flux1, SDXL, ControlNets, Clips, GGUFs all in one place. Carefully organized. |
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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 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 if they improve |
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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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**Q: Why aren’t there more Loras here?** |
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A: Stylized or niche Loras are showcased on Patreon, where we do deeper dives and examples. Some may get added here later if they become foundational. |
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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. |
