Run Stable Diffusion v1.8.0 on Novita AI

GitHub List: Novita AI Templates Catalogue

Understanding Stable Diffusion

What is Stable Diffusion

Stable Diffusion is a state-of-the-art deep learning model designed for generating images based on textual descriptions. You can create videos and animations using the model, which is based on diffusion technology and latent space. This reduces processing requirements, allowing you to run the model on desktops or laptops with GPUs. Fine-tune Stable Diffusion with just five images through transfer learning for your specific needs.

How does Stable Diffusion Work?

Stable Diffusion works by starting with a random noise image and iteratively refining it to match a given text prompt. This process, known as diffusion, involves applying a series of transformations to gradually reduce noise and enhance features, guided by the text input. The model uses a neural network trained on a large dataset of images and corresponding descriptions to learn this transformation process. As the noise decreases, the image becomes clearer and more aligned with the text, resulting in a high-quality, AI-generated visual representation of the prompt.

Know more about Stable Diffusion v1.8.0

What is Stable Diffusion v1.8.0

Stable Diffusion v1.8.0 is one version of Stable Diffusion that transforms textual descriptions into high-quality, visually detailed images. Building on previous versions, v1.8.0 offers improvements in image generation quality, speed, and model stability.

What's new with Stable Diffusion v1.8.0

• Update torch to version 2.1.2

• Soft Inpainting (#14208)

• FP8 support (#14031, #14327)

• Support for SDXL-Inpaint Model (#14390)

• Use Spandrel for upscaling and face restoration architectures (#14425, #14467, #14473, #14474, #14477, #14476, #14484, #14500, #14501, #14504, #14524, #14809)

• Automatic backwards version compatibility (when loading infotexts from old images with program version specified, will add compatibility settings)

• Implement zero terminal SNR noise schedule option (SEED BREAKING CHANGE, #14145, #14979)

• Add a [✨] button to run hires fix on selected image in the gallery (with help from #14598, #14626, #14728)

• Separate assets repository; serve fonts locally rather than from google's servers

• Official LCM Sampler Support (#14583)

• Add support for DAT upscaler models (#14690, #15039)

• Extra Networks Tree View (#14588, #14900)

• NPU Support (#14801)

• Prompt comments support

Targeted Users of Stable Diffusion v1.8.0

• Digital Artists: Perfect for artists creating unique images and concept art from text prompts.

• Game Developers: Ideal for generating visuals for game environments and characters.

• Content Creators: Great for influencers and YouTubers needing eye-catching visuals.

• Researchers: Useful for AI and machine learning studies related to image generation.

• Marketing Pros: Helps create compelling visuals for advertising campaigns.

• Software Developers: Can be integrated into apps and services to enhance user experience.

• AI Hobbyists: Fun for anyone interested in experimenting with cutting-edge AI tools.

How to Use Stable Diffusion v1.8.0

Automatic Installation on Windows

• Install Python 3.10.6 (Newer version of Python does not support torch), checking "Add Python to PATH".

• Install git.

• Download the stable-diffusion-webui repository, for example by running git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git.

• Run webui-user.bat from Windows Explorer as normal, non-administrator, user.

Automatic Installation on Linux

• Install the dependencies:

1# Debian-based:
2sudo apt install wget git python3 python3-venv libgl1 libglib2.0-0
3# Red Hat-based:
4sudo dnf install wget git python3 gperftools-libs libglvnd-glx 
5# openSUSE-based:
6sudo zypper install wget git python3 libtcmalloc4 libglvnd
7# Arch-based:
8sudo pacman -S wget git python3

• Navigate to the directory you would like the webui to be installed and execute the following command:

1wget -q https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh

• Run webui.sh.

• Check webui-user.sh for options.

Run Stable Diffusion v1.8.0 on Novita AI

Stable Diffusion v1.8.0 is an advanced text-to-image generation model. Novita AI provides the robust infrastructure needed to run this model efficiently. With Novita AI's cloud capabilities, users can enjoy faster processing times, reduced setup complexity, and seamless integration to explore the creative potential of Stable Diffusion v1.8.0.

Why Choose Novita AI to Run StableDiffusion v1.8.0

• Optimized Performance: Novita AI offers GPU power optimized for AI workloads, ensuring smooth performance for Stable Diffusion v1.8.0, even with complex prompts and high-res outputs.

• Scalability: Novita AI scales to meet your needs. From small-scale projects to large batch processing, you can easily adjust your resources without the hassle of managing physical hardware.

• Ease of Use: Novita AI’s platform is designed for simplicity. With an intuitive interface and seamless deployment options, getting started with Stable Diffusion v1.8.0 requires minimal efforts.

• Cost-Effective: With flexible pricing, Novita AI lets you pay only for what you use, making it cost-effective for high-performance AI models like Stable Diffusion v1.8.0.

How Can Novita AI Help with Stable Diffusion v1.8.0

Stable Diffusion v1.8.0 is now available on Novita AI, providing you with high-performance, scalable cloud infrastructure for seamless text-to-image generation. Benefit from easy deployment, optimized GPU resources, and efficient integration into your projects. Elevate your work with Novita AI's powerful platform and transform your ideas into stunning visuals effortlessly. Run Stable Diffusion v1.8.0 on Novita AI today!

Common Errors and Solutions of Running StableDiffusion v1.8.0

• Error 1: v1.8.0 start error,TypeError: unsupported operand type(s) for |: 'type' and 'NoneType

• Solution 1: Install python 3.10.6 https://www.python.org/downloads/release/python-3106/ Remember to check "Add Python to PATH" when installing.

• Error 2: Broken Installation and Execution on Nobara Linux

• Solution 2: Fedora includes the last 4 Python releases. While the latest is named just python the previous includes their version in their names python3.9, python3.10 and so on.

Try:

1sudo dnf install python3.10
2
3// edit webui-user.sh of stable-diffusion-webui
4// uncomment python_cmd
5python_cmd="python3.10"

(delete the .venv inside stable-diffusion-webui if your previous installation failed to avoid corrupted environments)

FAQs

What is TORCH and how does its version affect performance?

TORCH is a library that can be understood as the higher the version, the faster the image generation speed. The new version includes TORCH 2.1.2, and there's also a mention of TORCH 2.2.0 which is compatible with the presenter's setup.

What is the significance of FP8 precision support in the new version?

FP8 precision support allows for lower VRAM usage during image generation. It is claimed that FP8 can reduce VRAM usage by 50% compared to FP16 precision, with minimal impact on speed and image quality.

How does the new version handle high-resolution image repair?

The new version introduces a star button for high-resolution repair. This feature uses HIGHER fix settings and applies the default preset, even if not explicitly selected, to enhance the quality of the generated images.

What are the differences between the various upscaling algorithms?

The algorithms mentioned are 'For x Ultrasharp', 'Dota x2', 'Dota x3', and 'Dota x4'. 'For x Ultrasharp' is considered the best for upscaling, but 'Dota x2' provides a smoother effect, potentially better for skin smoothing.

What is the resolution limit of Stable Diffusion?

The latest Stable Diffusion version can generate images with resolutions of 2048x2048 or even higher.

Liscense

AGPL-3.0 license

View on Github

Source site: https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.8.0

Excellent Collaboration Opportunity with Novita AI

We are dedicated to providing collaboration opportunities for developers.

Get in Touch:

• Email: support@novita.ai

• Discord: novita.ai

---

Novita AI is the All-in-one cloud platform that empowers your AI ambitions. Integrated APIs, serverless, GPU Instance — the cost-effective tools you need. Eliminate infrastructure, start free, and make your AI vision a reality.