README.md

---
license: other
tags:
- comfyui
- flux
- sdxl
- gguf
- stable diffusion
- t5xxl
- controlnet
- unet
- vae
- model hub
- one click
- upscaler
---

---
💾 Want this whole repo pre-downloaded and installed?

👉 [Support on Patreon](https://www.patreon.com/MaxedOut99) for one-click installers, exclusive LoRAs, and ComfyUI workflows built for mortals.

📺 New to ComfyUI? [Watch the YouTube walkthrough](https://youtu.be/osTqa3SQKx4) and skip the confusion.

---

> ⚠️ **Work in Progress**  
> This repo is actively being developed. Especially the the model card. Use as you see fit but know some things won't be accurate or up to date yet.


# ComfyUI-Starter-Packs

> A curated vault of the most essential models for ComfyUI users. Flux1, SDXL, ControlNets, Clips, GGUFs all in one place. Carefully organized. 
> Hit the heart at the top next to this repo's name if you find it useful. A small action done by many will let me know working on this repo is helpful. 

---

## 🪜 What's Inside

This repo is a **purposeful collection** of the most important models organized in folders so whatever you need is all within that folder:

### 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 if are especially useful or improve the model. 

### SDXL
- **Reccomended Checkpoints to get you started** Pony Realism and Juggernaut
- **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 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 or t5xxl_fp8_scaled.safetensors |
| 16GB       | Balanced | t5xxl_fp8_scaled.safetensors |
| <16GB      | Low-memory / Safe mode | GGUF Q5_K_S or Q3_K_S |

Quantized t5xxl only directly affects prompt adherence.

> ⚠️ 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

```
Adetailer/
├─ Ultralytics/bbox/
│  ├─ face_yolov8m.pt
│  └─ hand_yolov8s.pt
└─ sams/
   └─ sam_vit_b_01ec64.pth

Flux1/
├─ PuLID/
│  └─ pulid_flux_v0.9.1.safetensors
├─ Style_Models/
│  └─ flux1-redux-dev.safetensors
├─ clip/
│  ├─ ViT-L-14-TEXT-detail-improved-hiT-GmP-HF.safetensors
│  ├─ clip_l.safetensors
│  ├─ t5xxl_fp16.safetensors
│  ├─ t5xxl_fp8_e4m3fn_scaled.safetensors
│  └─ GGUF/
│     ├─ t5-v1_1-xxl-encoder-Q3_K_L.gguf
│     └─ t5-v1_1-xxl-encoder-Q5_K_M.gguf
├─ clip_vision/
│  └─ sigclip_vision_patch14_384.safetensors
├─ vae/
│  └─ ae.safetensors
└─ unet/
   ├─ Dev/
   │  ├─ flux1-dev-fp8.safetensors
   │  └─ GGUF/
   │     ├─ flux1-dev-Q3_K_S.gguf
   │     └─ flux1-dev-Q5_K_S.gguf
   ├─ Fill/
   │  ├─ flux1-fill-dev-fp8.safetensors
   │  └─ GGUF/
   │     ├─ flux1-fill-dev-Q3_K_S.gguf
   │     └─ flux1-fill-dev-Q5_K_S.gguf
   ├─ Canny/
   │  ├─ flux1-canny-dev-fp8.safetensors
   │  └─ GGUF/
   │     ├─ flux1-canny-dev-Q4_0-GGUF.gguf
   │     └─ flux1-canny-dev-Q5_0-GGUF.gguf
   ├─ Depth/
   │  ├─ flux1-depth-dev-fp8.safetensors
   │  └─ GGUF/
   │     ├─ flux1-depth-dev-Q4_0-GGUF.gguf
   │     └─ flux1-depth-dev-Q5_0-GGUF.gguf
   └─ Schnell/
      ├─ flux1-schnell-fp8-e4m3fn.safetensors
      └─ GGUF/
         ├─ flux1-schnell-Q3_K_S.gguf
         └─ flux1-schnell-Q5_K_S.gguf
```

---

## 📈 Model Previews (Coming Soon)

I might 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)** — (Coming Soon) Get:
- One-click installers for all major Flux & SDXL workflows
- ComfyUI workflows built for beginners and pros
- 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. Not a collection of every model off the face of the earth.

**Q: Why aren’t there more Loras here?**  
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.



---

## ✨ Final Thoughts

You shouldn’t need to hunt through 12 Civitai pages and 6 hugging face repos just to build your ComfyUI folder.

This repo fixes that.