---
title: stable-diffusion-v1-5-img2img · Cloudflare Workers AI docs
description: "Stable Diffusion is a latent text-to-image diffusion model capable
  of generating photo-realistic images. Img2img generate a new image from an
  input image with Stable Diffusion. "
chatbotDeprioritize: false
source_url:
  html: https://developers.cloudflare.com/workers-ai/models/stable-diffusion-v1-5-img2img/
  md: https://developers.cloudflare.com/workers-ai/models/stable-diffusion-v1-5-img2img/index.md
---

r

# stable-diffusion-v1-5-img2img Beta

Text-to-Image • runwayml

@cf/runwayml/stable-diffusion-v1-5-img2img

Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images. Img2img generate a new image from an input image with Stable Diffusion.

| Model Info | |
| - | - |
| Terms and License | [link](https://github.com/runwayml/stable-diffusion/blob/main/LICENSE) |
| More information | [link](https://huggingface.co/runwayml/stable-diffusion-v1-5) |
| Beta | Yes |
| Unit Pricing | $0.00 per step |

## Usage

Workers - TypeScript

```ts
export interface Env {
  AI: Ai;
}


export default {
  async fetch(request, env): Promise<Response> {


    // Picture of a dog
    const exampleInputImage = await fetch(
      "https://pub-1fb693cb11cc46b2b2f656f51e015a2c.r2.dev/dog.png"
    );


    const inputs = {
      prompt: "Change to a lion",
      image: [...new Uint8Array(await exampleInputImage.arrayBuffer())],
    };


    const response = await env.AI.run(
      "@cf/runwayml/stable-diffusion-v1-5-img2img",
      inputs
    );


    return new Response(response, {
      headers: {
        "content-type": "image/png",
      },
    });
  },
} satisfies ExportedHandler<Env>;
```

curl

```sh
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/runwayml/stable-diffusion-v1-5-img2img  \
  -X POST  \
  -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN"  \
  -d '{ "prompt": "cyberpunk cat" }'
```

## Parameters

\* indicates a required field

### Input

* `prompt` string required min 1

  A text description of the image you want to generate

* `negative_prompt` string

  Text describing elements to avoid in the generated image

* `height` integer min 256 max 2048

  The height of the generated image in pixels

* `width` integer min 256 max 2048

  The width of the generated image in pixels

* `image` array

  For use with img2img tasks. An array of integers that represent the image data constrained to 8-bit unsigned integer values

  * `items` number

    A value between 0 and 255

* `image_b64` string

  For use with img2img tasks. A base64-encoded string of the input image

* `mask` array

  An array representing An array of integers that represent mask image data for inpainting constrained to 8-bit unsigned integer values

  * `items` number

    A value between 0 and 255

* `num_steps` integer default 20 max 20

  The number of diffusion steps; higher values can improve quality but take longer

* `strength` number default 1

  A value between 0 and 1 indicating how strongly to apply the transformation during img2img tasks; lower values make the output closer to the input image

* `guidance` number default 7.5

  Controls how closely the generated image should adhere to the prompt; higher values make the image more aligned with the prompt

* `seed` integer

  Random seed for reproducibility of the image generation

### Output

The binding returns a `ReadableStream` with the image in JPEG or PNG format (check the model's output schema).

## API Schemas

The following schemas are based on JSON Schema

* Input

  ```json
  {
      "type": "object",
      "properties": {
          "prompt": {
              "type": "string",
              "minLength": 1,
              "description": "A text description of the image you want to generate"
          },
          "negative_prompt": {
              "type": "string",
              "description": "Text describing elements to avoid in the generated image"
          },
          "height": {
              "type": "integer",
              "minimum": 256,
              "maximum": 2048,
              "description": "The height of the generated image in pixels"
          },
          "width": {
              "type": "integer",
              "minimum": 256,
              "maximum": 2048,
              "description": "The width of the generated image in pixels"
          },
          "image": {
              "type": "array",
              "description": "For use with img2img tasks. An array of integers that represent the image data constrained to 8-bit unsigned integer values",
              "items": {
                  "type": "number",
                  "description": "A value between 0 and 255"
              }
          },
          "image_b64": {
              "type": "string",
              "description": "For use with img2img tasks. A base64-encoded string of the input image"
          },
          "mask": {
              "type": "array",
              "description": "An array representing An array of integers that represent mask image data for inpainting constrained to 8-bit unsigned integer values",
              "items": {
                  "type": "number",
                  "description": "A value between 0 and 255"
              }
          },
          "num_steps": {
              "type": "integer",
              "default": 20,
              "maximum": 20,
              "description": "The number of diffusion steps; higher values can improve quality but take longer"
          },
          "strength": {
              "type": "number",
              "default": 1,
              "description": "A value between 0 and 1 indicating how strongly to apply the transformation during img2img tasks; lower values make the output closer to the input image"
          },
          "guidance": {
              "type": "number",
              "default": 7.5,
              "description": "Controls how closely the generated image should adhere to the prompt; higher values make the image more aligned with the prompt"
          },
          "seed": {
              "type": "integer",
              "description": "Random seed for reproducibility of the image generation"
          }
      },
      "required": [
          "prompt"
      ]
  }
  ```

* Output

  ```json
  {
      "type": "string",
      "contentType": "image/png",
      "format": "binary",
      "description": "The generated image in PNG format"
  }
  ```
