# Using AI Generation Tools

Overview of AI Models

The Render Network offers a variety of cutting-edge AI models tailored for different creative needs available to use at [https://render.x.io](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 detail&#x73;**.**
* **Dream Machine:** Featuring the Ray 1.6 and Ray 2 models, bringing high-resolution, cinematic-quality AI rendering to life.

***

#### Setting Up a Prompt

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.

***

#### Using Custom Image Inputs

Custom image inputs are also  now supported  and available for image to image and image to video models on the Render Network.<br>

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXcUNXl2Avs_gtXEE5l2i1XkDKAGfR91_wQ42DmgKPMv0D8casrWDLbcRXtQ5Op_a5-TFOJSD19Ita15GrdrKTEVEaI_b7HqG3j7SwbP0pltL-jXM-UOW6mROLCudP7HIBFeelEI?key=tVs4n4vZN_XiCaeVwgVppBfS" alt=""><figcaption><p>Using Image-to-Image Models on the Render Network</p></figcaption></figure>

Images can be uploaded directly through your local desktop or through your mobile device. This gives you more flexibility and allows you generate from numerous methods.&#x20;

<figure><img src="https://1286142079-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MKt2GmpnqwLIsi-Sh1Z%2Fuploads%2F1rmkUKdhU3sgAZou12xm%2Fc2.png?alt=media&#x26;token=3528fdc5-85db-434a-a08b-a8b766546511" alt=""><figcaption><p>Using Image-to-Video Models on the Render Network</p></figcaption></figure>

Max Upload size is 20MB, straight from desktop or mobile. The Render Network is continually growing to support more asset upload options, expanding your creative toolset on the Render Network.

***

#### Payment Options & Estimations

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.

***

#### Running the Prompt & Reviewing Outputs

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.

***

#### Future Updates

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**](https://render.x.io/).


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://know.rendernetwork.com/using-ai-generation-tools.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
