Using AI Generation Tools
A guide to using AI Generation tools on the Render Network
Last updated
A guide to using AI Generation tools on the Render Network
Last updated
The Render Network offers a variety of cutting-edge AI models tailored for different creative needs available to use at https://render.x.io – featuring:
Stable Diffusion: an industry-standard text-to-image model, perfect for flexibility and creative control.
Photon by Luma Labs: A powerful new model designed for high-quality text-to-image synthesis.
Flux & Flux 1.1 Pro: Optimized for high-fidelity generations with refined AI-assisted details.
Dream Machine: Featuring the Ray 1.6 and Ray 2 models, bringing high-resolution, cinematic-quality AI rendering to life.
Once you've selected your preferred AI model, it's time to configure your prompt. Here, you can enter a text description for your image, adjust input parameters, and fine-tune the AI's output to your creative vision.
Key settings include:
Aspect Ratios – Choose the format that best fits your project.
Number of Outputs – Generate multiple variations in a single run.
Seed & Safety Tolerance for Fine-tuning the generation process.
Render Network offers two payment methods: You can use RENDER Credits or RENDER Tokens to process your AI generations. The system provides an estimated cost for both, ensuring full transparency before running your prompt.
Key Features:
Cost Estimation – Preview credit/token usage before committing.
Efficient Processing – Decentralized GPU power ensures fast and scalable rendering.
Seamless Transactions – Secure and straightforward payment integration.
Once everything is set, simply hit 'Run Prompt' and let the Render Network do the heavy lifting! Depending on your model selection and complexity, your AI-generated images will be ready in no time.
The Render Network is evolving rapidly, continuously rolling out new AI models and features to enhance creative workflows.
Be sure to check back regularly and experiment with all the latest tools and models at render.x.io.