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Hallo3

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Information

Hallo3 is a tool for creating and managing workflows in the area of image and video generation. It uses visual programming, allowing users to design complex data processing pipelines without writing code. With it, you can configure generation parameters, integrate models, and create workflows to solve tasks in generative artificial intelligence.

Hallo3. Key Features

  • Visual Programming: a user-friendly interface based on nodes for creating complex content generation workflows.
  • Support for Various Models: compatibility with a wide range of text and image generation models, including modern neural networks. Pre-trained models are already loaded and available in the /opt/hallo3/pretrained_models directory.
  • Extensibility: ability to add custom nodes and integrate your own models or algorithms.
  • Flexible Parameter Management: precise control over generation parameters such as text length, style, tone, etc.
  • Support for Text-to-Text and Text-to-Image Techniques: capability to use text descriptions for generating images or other texts.
  • CUDA Integration: optimized GPU usage for accelerating the generation process. NVIDIA drivers and CUDA toolkit are already installed on the server.
  • Saving and Loading Workflows: ability to save complex configurations for reuse or sharing.
  • Integration with Miniconda: dependency management and Python environment control through Miniconda, installed in /opt/miniconda3. The Hallo3 environment (hallo) is pre-configured and ready to use.
  • Active Community: regular updates, a wide selection of community-developed nodes and extensions.
  • Local Execution: all computations are performed locally, ensuring data privacy and control.

Deployment Features

ID Compatible OS VM BM VGPU GPU Min CPU (Cores) Min RAM (Gb) Min HDD/SDD (Gb) Active
260 Ubuntu 22.04 + + + + 1 128 60 Yes
  • Installation time: 15-30 minutes along with the OS.
  • System requirements: at least 80 GB VRAM on GPU.
  • Miniconda: installed in /opt/miniconda3.
  • Conda Environment: The hallo environment is pre-configured and activated via the command:
source /opt/miniconda3/etc/profile.d/conda.sh
conda activate hallo
  • Source Code: Hallo3 repository located in /opt/hallo3.
  • Pre-trained Models: Available at /opt/hallo3/pretrained_models.

Getting Started After Deploying Hallo3

After payment, an email notification with the server's readiness and details like the VPS IP address, login, and password will be sent to your registered email. Clients manage our hardware through the server control panel and API — Invapi.

Upon clicking the link in the webpanel tag, a login window will open.

Authentication data can be found either under Info >> Tags in the server management panel or in the sent email:

  • Link to Hallo3 Control Panel with Web Interface: in the webpanel tag;
  • Login: root for administrator;
  • Password: Sent via email upon server deployment.

Note

Detailed information on using Hallo3 is available in the project's official documentation.

Ordering a Server with Hallo3 via API

To install this software using the API, follow these instructions.

Some of the content on this page was created or translated using AI.