# Generation Settings

When generating images, you can find multiple settings that provide more control over the output, such as Prompt Guidance, Quality and Details, and Strength.

### Prompt Guidance

The Prompt Guidance parameter can be found on the right panel for supported models. There are three options available:

* **Low**: Corresponds to a Guidance scale of around 5.
* **Medium**: Corresponds to a Guidance scale of 7.5.
* **High**: Corresponds to a Guidance scale of 12.

The higher the Prompt Guidance value, the more closely the model will follow the provided prompt. However, this may reduce the model's creative aspect. Conversely, a lower Prompt Guidance value allows the model to be more creative, but the generated image may not align as closely with the original prompt.

<figure><img src="https://2623503699-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FPYWrOrU7drWieMmcpAgk%2Fuploads%2FchTyPbAVTCB2FBwcQ8FV%2FScreenshot%202024-03-28%20233009.png?alt=media&#x26;token=d90580d5-9cdb-45b3-a5cc-c4e91d6823c6" alt="" width="271"><figcaption></figcaption></figure>

### Quality and Details

The Quality and Details parameter is similar to the number of inference steps for the diffusion model. It is typically set to a value of 30, as this generates good-quality images within a reasonable time frame. You can decrease or increase this value.

<figure><img src="https://2623503699-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FPYWrOrU7drWieMmcpAgk%2Fuploads%2FKoCFkpoa9NZiF7rEs8jr%2FScreenshot%202024-03-28%20234445.png?alt=media&#x26;token=1be507a9-768d-495a-aace-1f0d83ecc72c" alt="" width="272"><figcaption></figcaption></figure>

* Higher values will take longer to generate the image but will produce more detailed results.
* After a certain range (around 30-50 steps), there may not be much noticeable difference in the generated images.
* Lower values will generate the image faster, but it may have some defects.&#x20;

<figure><img src="https://2623503699-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FPYWrOrU7drWieMmcpAgk%2Fuploads%2FTDbfaNFjMOfm00Ez3TLL%2Fstable-diffusion-steps.png?alt=media&#x26;token=d24d5b3d-65a1-4a26-8160-ef088520eaee" alt=""><figcaption><p>Images for different inference steps (<a href="https://www.paepper.com/blog/posts/everything-you-need-to-know-about-stable-diffusion/">article</a>)</p></figcaption></figure>

### Strength

The Strength parameter can be considered a dial that controls how much you want to change the generated image. If you're using an image-to-image model:

* Higher Strength values will result in more significant changes, like turning a cat into a tiger.
* Lower Strength values will make smaller, more subtle changes, like adding stripes to a cat without drastically altering its appearance.

The Strength parameter is like telling the model how bold or subtle you want the changes to be.

<figure><img src="https://2623503699-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FPYWrOrU7drWieMmcpAgk%2Fuploads%2FTLkWM7N1IH8DmgrNMeLm%2FScreen-Shot-2023-02-13-at-10.19.07-PM.webp?alt=media&#x26;token=cd4ac4c3-ebcb-468d-b157-afbfce650419" alt="" width="245"><figcaption></figcaption></figure>

<figure><img src="https://2623503699-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FPYWrOrU7drWieMmcpAgk%2Fuploads%2FGp4Qjl9AeuGIGZfygyVC%2FScreenshot%202024-03-29%20234437.png?alt=media&#x26;token=ce008678-d85e-469b-9594-7e8b9a16294d" alt="" width="267"><figcaption></figcaption></figure>

### Inference Type

Next to the generation button, you'll find three options: Normal, Fast, and Hyper. These options represent the GPU type used for the image generation:

* **Normal**: Runs the container on an A10G GPU, which is a cost-effective option but slower.
* **Fast**: Runs the container on an A100 GPU, which is faster but more expensive.
* **Hyper**: Runs the container on an H100 GPU, which is the fastest but also the most expensive option.

Choose the option that best fits your requirements, balancing speed and cost.

<figure><img src="https://2623503699-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FPYWrOrU7drWieMmcpAgk%2Fuploads%2FODIbD7Fh4TBABNgcNxAF%2FScreenshot%202024-05-03%20200255.png?alt=media&#x26;token=1f0918d0-9406-4436-b358-91c69bf929b0" alt="" width="184"><figcaption></figcaption></figure>
