| System: | Ubuntu 24.04 |
| Edition: | 010326 |
Launch Automatic1111 Forge — a more advanced version of Automatic1111 with new features and a powerful, user-friendly toolset for creating images from text descriptions — on a ready-to-use cloud server with a GPU. This Ubuntu-based image includes everything you need: a pre-installed web interface, NVIDIA drivers, popular Stable Diffusion models, and nginx for instant browser access.
No need to configure dependencies or compile kernels — simply choose your preferred configuration, launch the VM, and start creating.
Automatic1111 Forge — a more advanced version of Automatic1111 — the most popular web interface for Stable Diffusion — featuring new functionality
nvidia-open — Optimized drivers (590.48.01) for maximum performance.
nginx — Provides stable browser-based access to the interface.
Pre-loaded Models — Includes Stable Diffusion 1.5 and SDXL, with full support for LoRA, ControlNet, and other extensions.
Stable Diffusion is an open-source generative neural network that creates images from text prompts. Using the latent diffusion method, it gradually reconstructs an image from noise based on the semantics of your description. Trained on billions of text-image pairs, the model accurately links words to visual elements: styles, colors, and composition.
Automatic1111 simplifies this technology: you describe your idea, and the system handles parameter tuning, memory management, and result generation.
Instant Launch: Your cloud GPU server is ready in just 2–3 minutes.
Flexibility: Choose between RTX 3090, 4090, 5090, A100, or H200 depending on your tasks.
Cost-Effective: Pay only for what you use with per-second billing.
Reliability: Immersion cooling guarantees stable performance even during long, high-load sessions.
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
Distributor ID: Ubuntu
Description: Ubuntu 24.04.4 LTS
Release: 24.04
Codename: noble
When using large models (SDXL or any other high-capacity models), it is essential to choose a configuration with a higher amount of System RAM. We recommend selecting configurations with 32 GB, 64 GB, or 128 GB of RAM. Otherwise, you may encounter stability issues, such as periodic crashes or disconnections of the Stable Diffusion service. This issue does not occur when working with smaller models like Stable Diffusion 1.5 or Stable Diffusion 2.1.
| Model / Use Case | Recommended GPU | VRAM Amount |
|
Stable Diffusion 1.5 |
NVIDIA RTX 3090 / 4090 |
6 ГБ |
|
SDXL 1.0 |
NVIDIA RTX 4090 / A10 |
10 ГБ |
|
SDXL + LoRA/ControlNet |
NVIDIA RTX 4090 / 5090 |
12 ГБ |
|
Высокое разрешение (1024+) |
NVIDIA RTX 4090 / 5090 |
16 ГБ |
|
Batch-генерация |
NVIDIA RTX 4090 / A100 |
24 ГБ |
Tip: For a smooth experience with SDXL and extensions, it's best to choose an RTX 4090 (24 GB) or RTX 5090 (32 GB). This will ensure high speeds and prevent "out of memory" errors.
To connect, wait until the "StableDiffusion" link appears under your server's IP address. Clicking this link will redirect you to the Automatic1111 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.