Realistic Vision v6.0 - No VAE

Realistic Vision is a Stable Diffusion v1.5 model fine-tuned on photorealistic images. See the HF model page or the CivitAI page for details.

How to use the API

The API input arguments are as follows:

prompt: The input prompt is a text description that guides the image generation process. It should be a detailed and specific description of the desired output image.
negative_prompt: This parameter allows specifying negative prompts. Negative prompts are terms or descriptions that should be avoided in the generated image, helping to steer the output away from unwanted elements.
width: This parameter sets the width of the output image.
height: This parameter sets the height of the output image.
num_outputs: Specifies the number of images to be generated for a given prompt. This allows for multiple variations of images based on the same input parameters.
scheduler: The scheduler parameter determines the algorithm used for image generation. Different schedulers can affect the quality and characteristics of the output.
num_steps: This parameter defines the number of denoising steps in the image generation process.
guidance_scale: The guidance scale parameter adjusts the influence of the classifier-free guidance in the generation process. Higher values will make the model focus more on the prompt.
seed: The seed parameter sets a random seed for image generation. A specific seed can be used to reproduce results, or left blank for random generation.

Original Model: https://civitai.com/models/4201/realistic-vision-v60-b1

Some important usage tips from the original model page:

Best performance comes with the scheduler “DPM++ SDE Karras” which is the default value in the API.
Recommended number of denoising steps are: 10+ with DPM++ SDE Karras scheduler / 20+ with DPM++ 2M SDE scheduler.