Qwen Text to Image ComfyUI workflow for Videcool

The Qwen Text-to-Image workflow in Videcool provides a powerful and flexible way to generate high-quality images directly from text prompts. Designed for speed, clarity, and creative control, this workflow is served by ComfyUI and uses the Qwen AI text to image model developed by Alibaba.

What can this ComfyUI workflow do?

In short: Text to image conversion.

This workflow converts written text prompts into fully generated images using diffusion technology. It interprets your prompt and outputs detailed, coherent visuals with high fidelity. The base AI model it uses is optimized for multiple resolutions with flexible aspect ratios, making it suitable for various creative applications.

Example usage in Videcool

Download the ComfyUI workflow

Image of the ComfyUI workflow

This figure provides a visual overview of the workflow layout inside ComfyUI. Each node is placed in logical order to establish a clean and efficient generation pipeline. The structure makes it easy to understand how the text encoders, model loader, sampler, and VAE interact. Users can modify or expand parts of the workflow to create custom variations.

Installation steps

Installation video

The workflow requires only a text prompt and a few basic parameter adjustments to begin generating images. After loading the JSON file, users can select guidance scale, sampling steps, resolution, and prompt text. Once executed, the sampler processes the latent representation and produces a final decoded image. The result can be saved and reused across other Videcool tools. Check out the following video to see the model in action:

Prerequisites

To run the workflow correctly, download the following model files and place them into your ComfyUI directory. These files ensure the model can interpret language, convert prompts into latent embeddings, and decode the final images. Proper installation into the following location is essential before running the workflow: {your ComfyUI directory}/models.

ComfyUI\models\diffusion_models\qwen_text2image_model.safetensors
https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors

ComfyUI\models\vae\qwen_image_vae.safetensors
https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors

ComfyUI\models\text_encoders\qwen_text_encoder.safetensors
https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors

How to use this workflow in Videcool

Videcool integrates seamlessly with ComfyUI, allowing users to load workflows directly and generate images without external complexity. After importing the workflow file, simply enter your prompt and click generate. The system handles all backend interactions with ComfyUI. This makes image creation intuitive and accessible, even for users who are not keen on learning how ComfyUI works. The following video shows how this model can be used in Videcool:

ComfyUI nodes used

This workflow uses the following nodes. Each node performs a specific role, such as loading models, encoding text, sampling, and finally decoding the output. Together they create a reliable and modular pipeline that can be easily extended or customized.

• EmptySD3LatentImage
• Load Diffusion Model
• DualCLIPLoader
• Load VAE
• Clip Text Encode
• FluxGuidance
• KSampler
• VAE Decode
• Save Image
• ModelSamplingAuraFlow

Base AI model

This workflow is built on Alibaba's Qwen model, a modern and highly capable diffusion-based text-to-image generator. Qwen provides excellent image quality, versatile style support, and efficient generation with flexible resolution handling. The model is optimized for both artistic and commercial applications.

Image resolution

AI text to image models perform best when they generate images in their native resolution, that was used for training. For this model, information about the best resolution can be found below:

Native image size: 1024x1024px
The model supports other resolutions. Best resolutions are multiples of 64px.

Conclusion

The Qwen Text-to-Image workflow is a robust, powerful, and user-friendly solution for generating AI-driven visuals in Videcool. With its combination of high-quality models, a modular ComfyUI pipeline, and seamless platform integration, it enables beginners and professionals alike to produce creative and commercial-grade images with ease. By understanding the workflow components and advantages, users can unlock the full potential of AI-assisted image generation in Videcool.