Type | |
Stats | 468 0 |
Reviews | (33) |
Published | Aug 19, 2024 |
Base Model | |
Hash | AutoV2 F27EEC723F |
🌟 The Perfect Trio: Best Quantization Options
1. 🔹 Best Small Model: Q2_K
⚡ Ultra-Fast inference speed
💾 Tiny Size: 8x smaller than original
💻 Perfect for low-resource devices
🔋 Ideal when speed > perfect accuracy
2. 🔸 Best All-Rounder: Q4_K_M
⚖️ Perfect Balance: size vs quality
🧠 Strong reasoning capabilities
👑 Community Favorite for daily use
🎯 Go-to choice for most applications!
3. 🔷 Premium Quality: Q8
✨ Nearly Identical to original model
🧩 Preserves complex reasoning abilities
🎨 Superior creative generation
💪 Best when quality is non-negotiable
🛠️ Complete Installation Guide
📁 Setup Structure
📂 ComfyUI/
├── 📂 models/
│ ├── 📂 diffusion_models/
│ │ ├── (basic)📄 SPEED_Q8.gguf
│ ├── 📂 text_encoders/
│ │ ├── (basic)📄 clip_l.safetensors
│ │ ├── (option1)📄 t5xxl_fp16.safetensors
│ │ ├── (option2)📄 t5xxl_fp8_e4m3fn.safetensors
│ │ └── (option3)📄 t5xxl_fp8_e4m3fn_scaled.safetensors
│ ├── 📂 vae/
│ │ └── 📄 ae.safetensors💎 Essential Components
This merged model offers a balanced solution for AI-driven image generation, emphasizing both speed and quality. Whether you're processing single images or large batches, it delivers high-quality visuals efficiently.
🔤 Text Encoders - The Brain Behind Natural Language Understanding
Note: You only need to choose ONE of the T5XXL options below based on your hardware capabilities
T5XXL Options (choose only one):
🎭 VAE - The Visual Artist
🔮 Pro Workflows
🚀 Flux Advance: Advanced optimization
🔧 Simple Workflow: Quick setup - just download & install missing nodes
🧪 T5 GGUF: For T5-based models
👏 Special Thanks
Big thanks to city96 for pioneering the GGUF journey! 🙌
👨💻 Developer Information
This workflow guide was created by Abdallah Al-Swaiti:
For additional tools and updates, check out the OllamaGemini Node: GitHub Repository
