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-# ComfyUI_CogView4-6B_diffusers
-Simple wrapper for diffusers inside comfyui
+# ComfyUI-Cog
+
+This is a custom node aiming to run CogView4 on diffusers while there is no official implementation on ComfyUI.
+You will need a updated version of diffusers and I don't know if updating it my break other stuff, so I advise you to make in a new instance of ComfyUI
+
+## Installation
+
+### Prerequisites
+
+- ComfyUI installed and working
+- GPU with at least 8GB VRAM (recommended)
+
+### Installation Steps
+
+1. Clone this repository to your ComfyUI's `custom_nodes` folder:
+   ```bash
+   cd ComfyUI/custom_nodes
+   git clone https://github.com/your-username/ComfyUI-Cog
+   ```
+
+2. Install the required dependencies:
+   ```bash
+   # For standard ComfyUI installation (non-portable):
+   pip install diffusers transformers accelerate
+   
+   # To install the latest version of diffusers (recommended):
+   pip install git+https://github.com/huggingface/diffusers.git
+   
+   # For ComfyUI Portable:
+   .\python_embeded\python.exe -m pip install diffusers transformers accelerate
+   # Or for the latest version of diffusers:
+   .\python_embeded\python.exe -m pip install git+https://github.com/huggingface/diffusers.git
+   ```
+
+3. Restart ComfyUI
+
+## Usage
+
+After installation, you'll have access to a new node:
+
+### CogView4 Generator
+
+This is the main node that generates images using the CogView4 model.
+
+#### Parameters:
+
+- **prompt**: Text description of the image you want to generate
+- **width**: Width of the output image (default: 1024)
+- **height**: Height of the output image (default: 1024)
+- **num_inference_steps**: Number of inference steps (default: 50)
+- **guidance_scale**: Model guidance scale (default: 3.5)
+- **num_images**: Number of images to generate per execution (default: 1)
+- **seed**: (Optional) Seed for reproducible results
+
+#### Note about Progress Bar:
+
+The CogView4 model does not support progress callbacks, so there is no real-time progress bar available during generation. You will see console output when generation starts and finishes, but no step-by-step progress indication.
+
+## Example Workflow
+
+1. Add the **CogView4 Generator** node to your workspace
+2. Configure the prompt and other desired parameters
+3. Connect the output of the CogView4 Generator to a Preview Image node to view the result
+4. Optionally, connect to a Save Image node to save the image to disk
+
+![Example Workflow](workflow_example.png)
+
+## Performance Optimization
+
+- Model CPU offload: loads parts of the model to CPU when not in use
+- VAE slicing: processes the image in smaller slices
+- VAE tiling: divides the image into blocks for processing
+
+
+## Troubleshooting
+
+### Import Error
+
+If you encounter import errors like `No module named 'diffusers'`, make sure you have installed all required dependencies.
+
+### CUDA Memory Errors
+
+If you receive errors like `CUDA out of memory`, try:
+- Close other applications using the GPU
+- Decrease the image size parameters
+- Enable the CPU offload function (enabled by default)
+
+### Slow First Run
+
+On the first run, the model will be downloaded from Hugging Face (approximately 12GB). This can take some time depending on your internet connection.