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Update README.md

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@@ -12,7 +12,7 @@ tags:
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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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  ---
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  > ⚠️ **Work in Progress**
@@ -22,7 +22,7 @@ tags:
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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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- > Consider hitting 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 worth it.
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  ---
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@@ -50,7 +50,7 @@ This repo is a **purposeful collection** of the most important models organized
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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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@@ -61,10 +61,12 @@ GGUF models are significantly lighter and designed for **low-VRAM** systems.
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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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@@ -144,8 +146,7 @@ Skip the manual downloads.
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  🎁 **[Patreon.com/MaxedOut](https://patreon.com)** — (Coming Soon) 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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  ---
@@ -170,6 +171,6 @@ A: Stylized or niche Loras are showcased on Patreon, where we do deeper dives an
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  ## ✨ Final Thoughts
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- You shouldn’t need to hunt through 12 Civitai and 6 hugging face repos just to build your ComfyUI folder.
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  This repo fixes that.
 
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  - vae
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  - model hub
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  - one click
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+ - upscaler
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  ---
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  > ⚠️ **Work in Progress**
 
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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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+ > 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.
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  ---
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  | VRAM | Use Case | Model Type |
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  |------|----------|-------------|
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+ | 16GB+ | Full 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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  | 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 or t5xxl_fp8_scaled.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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+ Quantized t5xxl only directly affects prompt adherence.
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+
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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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  🎁 **[Patreon.com/MaxedOut](https://patreon.com)** — (Coming Soon) Get:
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  - One-click installers for all major Flux & SDXL workflows
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+ - ComfyUI workflows built for beginners and pros
 
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  - Behind-the-scenes model picks and tips
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  ---
 
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  ## ✨ Final Thoughts
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+ You shouldn’t need to hunt through 12 Civitai pages and 6 hugging face repos just to build your ComfyUI folder.
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  This repo fixes that.