Proofreading: spelling, consistent names and units, outdated notes removed

README.md

@@ -586,20 +586,20 @@ cinematic sunset, depth of field, romantic atmosphere
 ### 📊 Universal Settings (All Versions)
 
 - Resolution: 512×512 to 2048×1152
-- VRAM: 8GB+ recommended
+- VRAM: 8 GB+ recommended
 - Lightning LoRAs: Compatible (4-step or 8-step)
 
 ## 💡 Which version should I choose?
 
 **Choose Beta3-AIO if:** ⭐ ✅ Want image editing capabilities ✅ Need to combine multiple images ✅ Want latest features and improvements ✅ Want fastest base model (4+ steps)
 
-**Choose Beta2-AIO (Pruned) if:** ✅ Want fastest text-to-image (6-8 steps) ✅ Need quick iterations/testing ✅ Prefer simplicity (single file) ✅ 8GB+ VRAM available
+**Choose Beta2-AIO (Pruned) if:** ✅ Want fastest text-to-image (6-8 steps) ✅ Need quick iterations/testing ✅ Prefer simplicity (single file) ✅ 8 GB+ VRAM available
 
 **Choose Beta2-AIO (Full) if:** ✅ Want maximum quality ✅ Need more control (CFG 2.5-4.0) ✅ Creating final/detailed work ✅ Prefer traditional workflow
 
 **Choose Beta2 FP8 if:** ✅ Want flexibility (separate VAE/encoder) ✅ Using custom VAE/encoders ✅ Need maximum compatibility
 
-**Choose Beta2 GGUF if:** ✅ Limited VRAM (6-8GB) ✅ Want smallest files (Q4 = 10GB) ✅ CPU inference needed
+**Choose Beta2 GGUF if:** ✅ Limited VRAM (6-8 GB) ✅ Want smallest files (Q4 = 10 GB) ✅ CPU inference needed
 
 **Choose Beta1 if:** ✅ Compatibility with old workflows ✅ Testing/comparison purposes
 
@@ -696,7 +696,7 @@ from image 2, match the lighting and style, anime aesthetic
 
 ## 🔧 Beta3-AIO specifications
 
-**Base Model:** Qwen Image Edit 2511 · **Text Encoder:** Qwen 2.5 VL 7B FP8 (uncut) · **Precision:** FP8 · **Format:** AIO (All-in-One) · **File Size:** ~27 GB · **VRAM:** 8GB minimum · **Steps:** 4-20 (4 min, 20 recommended) · **CFG:** 3.5 · **Sampler:** Euler · **Scheduler:** Beta
+**Base Model:** Qwen Image Edit 2511 · **Text Encoder:** Qwen 2.5 VL 7B FP8 (uncut) · **Precision:** FP8 · **Format:** AIO (All-in-One) · **File Size:** ~27 GB · **VRAM:** 8 GB minimum · **Steps:** 4-20 (4 min, 20 recommended) · **CFG:** 3.5 · **Sampler:** Euler · **Scheduler:** Beta
 
 **Capabilities:**
 
@@ -740,7 +740,7 @@ The original Civitai page lists limited nudity capabilities (no full explicit co
 
 **Q: Is quality different between AIO and Beta2 FP8?** A: No, same training - AIO just bundles files together.
 
-**Q: Which has better quality: Full AIO or Beta2 BF16?** A: Beta2 BF16 has slightly better precision, but difference is minimal.
+**Q: Which has better quality: Full AIO or Beta2 BF16?** A: Beta2 BF16 has slightly better precision, but the difference is minimal.
 
 **Q: Can I mix versions (e.g., Beta3 with Beta2 VAE)?** A: Not recommended. Each version is optimized as a complete package.
 
@@ -846,7 +846,7 @@ The Civitai text says "3 Custom Nodes" but lists two packs; the workflow JSON us
 * Steps: 4-8
 * CFG: 1
 * Sampler: Euler
-* Tested: RTX 4060 8GB ✅
+* Tested: RTX 4060 8 GB ✅
 
 💡 How to Use
 
@@ -985,7 +985,7 @@ This is the optimized workflow designed specifically for QWEN-Anime-Beta1 checkp
 
 - Preset resolutions from 512×512 to 2K (2048×1152)
 
-- Works on 8GB VRAM
+- Works on 8 GB VRAM
 
 📦 What's Included:
 
@@ -1114,7 +1114,7 @@ Perfect for both beginners and advanced users. All model links, installation ins
 ##### 🟦 Standard Workflow (Safetensors)
 
 **For:** BF16, FP16, FP8 versions  
-**Best for:** Most users with 8GB+ VRAM  
+**Best for:** Most users with 8 GB+ VRAM  
 **Model:** [QWEN-Anime-Beta2 (All Versions)](https://civitai.com/models/2122738?modelVersionId=2427021)
 
 ##### 🟨 GGUF Workflow (Quantized)
@@ -1172,7 +1172,7 @@ Perfect for both beginners and advanced users. All model links, installation ins
 * Uses `UnetLoaderGGUF` node
 * Files in `unet/` folder
 * Requires ComfyUI-GGUF custom node
-* Smaller file sizes (10-20GB)
+* Smaller file sizes (10-20 GB)
 
 ---
 
@@ -1261,15 +1261,15 @@ Visit the model page and download:
 
 ##### Use **Standard Workflow** if:
 
-✅ You have 8GB+ VRAM  
+✅ You have 8 GB+ VRAM  
 ✅ Using BF16, FP16, or FP8 safetensors  
 ✅ Want maximum quality  
-✅ Don't mind larger file sizes (19-38GB)
+✅ Don't mind larger file sizes (19-38 GB)
 
 ##### Use **GGUF Workflow** if:
 
-✅ You have limited VRAM (under 8GB)  
-✅ Want smaller file sizes (10-20GB)  
+✅ You have limited VRAM (under 8 GB)  
+✅ Want smaller file sizes (10-20 GB)  
 ✅ Need CPU inference support  
 ✅ Storage/bandwidth limited  
 ✅ Don't mind installing one extra custom node
@@ -1280,7 +1280,7 @@ Visit the model page and download:
 
 #### 🎯 Performance Comparison
 
-Feature Standard GGUF Q8 GGUF Q4 File Size 19-38GB 20GB 10GB VRAM Usage 8GB+ 7-8GB 6-7GB Quality Maximum Near-Max Good Speed Fast Fast Faster Setup Simple +1 Node +1 Node
+Feature Standard GGUF Q8 GGUF Q4 File Size 19-38 GB 20 GB 10 GB VRAM Usage 8 GB+ 7-8 GB 6-7 GB Quality Maximum Near-Max Good Speed Fast Fast Faster Setup Simple +1 Node +1 Node
 
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@@ -1420,7 +1420,7 @@ A: No, Beta3 workflow requires Beta3-AIO model.
 * ⚡ **Speed Users** - Lightning LoRA support
 * 💾 **Limited Storage** - GGUF workflow available
 * 🔧 **Advanced Users** - Full control and customization
-* 📱 **Low VRAM** - GGUF Q4 works on 6-7GB
+* 📱 **Low VRAM** - GGUF Q4 works on 6-7 GB
 
 ---
 
@@ -1438,7 +1438,7 @@ Both workflows include everything you need to get started - no external guides r
 
 **Created with ❤️ for the QWEN-Anime community**
 
-*Compatible with Beta1 and Beta2 | Tested on 8GB VRAM | Works on ComfyUI latest version*
+*Compatible with Beta1 and Beta2 | Tested on 8 GB VRAM | Works on ComfyUI latest version*
 
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