| System: | Ubuntu 24.04 |
| Edition: | 010326 |
Browser-based image generation
Want to create high-quality images from text descriptions without dealing with complex interfaces, endless parameters, or technical details? Launch Fooocus on a ready-to-use cloud server with a GPU and start creating in just a few minutes.
This Ubuntu-based image features a fully configured Fooocus 2.5.5 environment — a minimalist yet powerful tool for image generation based on Stable Diffusion XL. Everything is ready to go: NVIDIA drivers, web access via nginx, and pre-loaded models. Simply rent a GPU server, open your browser, and start prompting.
Stable Diffusion is a generative neural network that creates images from text using the latent diffusion method: it step-by-step forms an image from random noise, guided by the meaning of your prompt. Trained on billions of captioned images, the model accurately links words to visual elements — colors, shapes, and composition.
Fooocus simplifies this process to the maximum: you describe the desired result, and the system automatically selects the style, parameters, and model. No sliders, no technical jargon — just pure creativity.
Linux 6.17.0-14-generic #14~24.04.1-Ubuntu SMP PREEMPT_DYNAMIC Thu Jan 15 15:52:10 UTC 2 x86_64 x86_64 x86_64 GNU/Linux
To connect, wait until the StableDiffusion link appears under your server's IP address. Clicking this link will redirect you to the Fooocus interface.
Please note that access is provided via a link containing a token, which is required for proper authentication. If you wish to share access with someone else, you must copy the entire URL, including the ?token= parameter.
To achieve the best results, clearly describe what you want to see. A typical prompt structure looks like this: [subject], [action or pose], [background], [style], [quality], [details]
Example:
a futuristic warrior in a glowing armor, standing on a cliff, cinematic lighting, volumetric fog, ultra detailed, artstation
You can use commas or brackets to set priorities. Negative prompts are also supported, allowing you to exclude unwanted elements from your image.