Add native ComfyUI workflow instructions and required file links

README.md

@@ -63,25 +63,29 @@ Below are official sample outputs from the original Krea 2 OSS Turbo model (gene
 
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-## 🚀 How to Use in ComfyUI
 
-These weights are fully compatible with custom native ComfyUI nodes designed for the Krea2 pipeline.
+## 🚀 How to Use in ComfyUI (Native — 0.25.0+)
 
-### 1. Model Placement
-Download the `krea2_turbo_fp8.safetensors` file from this repository and place it in your ComfyUI models folder:
-- Path: `ComfyUI/models/unet/` OR `ComfyUI/models/diffusion_models/` OR `ComfyUI/models/krea2/`
+ComfyUI 0.25.0+ has **built-in Krea2 support**. No custom nodes needed.  
+Drop the workflow JSON into ComfyUI and drag it to the canvas.
 
-### 2. Pipeline Dependencies
-To run Krea 2 OSS, you will also need the original text encoder and VAE:
-- **Text Encoder**: Qwen3-VL-4B-Instruct (`Qwen/Qwen3-VL-4B-Instruct` on Hugging Face).
-- **VAE**: Qwen-Image Autoencoder (`Qwen/Qwen-Image` subfolder `vae`).
+### 1. Download Required Files
 
-### 3. Recommended Generation Parameters (Turbo)
-- **Resolution**: 1024x1024 (up to 2048x2048)
-- **Steps**: 8
-- **CFG Scale**: 0.0 (Turbo model works best with 0 CFG)
-- **Mu**: 1.15
-- **Sampler / Scheduler**: Standard Flow Matching Timesteps
+Place these in your `ComfyUI/models/` folder:
+
+| File | Folder | Source |
+|------|--------|--------|
+| `krea2_turbo_fp8.safetensors` | `unet/` | [AlperKTS/Krea2_FP8](https://huggingface.co/AlperKTS/Krea2_FP8) ← You are here |
+| `qwen3vl_4b_fp8_scaled.safetensors` | `text_encoders/` | [Comfy-Org/Qwen3-VL](https://huggingface.co/Comfy-Org/Qwen3-VL/tree/main/text_encoders) |
+| `qwen_image_vae.safetensors` | `vae/` | [Comfy-Org/Qwen-Image_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main/split_files/vae) |
+
+### 2. Load the Workflow
+
+Drag [`workflows/Krea 2 simple workflow.json`](workflows/Krea%202%20simple%20workflow.json) onto your ComfyUI canvas.
+
+### 3. Queue & Generate!
+
+Turbo defaults: **8 steps, CFG 1.0, `er_sde` sampler, `simple` scheduler, 1280×720.**
 
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