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# dreamshaper-8-lcm Beta

Text-to-Image • lykon

@cf/lykon/dreamshaper-8-lcm

Stable Diffusion model that has been fine-tuned to be better at photorealism without sacrificing range.

| Model Info       |                                                  |
| ---------------- | ------------------------------------------------ |
| More information | [link](https://huggingface.co/Lykon/DreamShaper) |
| Beta             | Yes                                              |

## Usage

## Parameters

\* indicates a required field

### Input

* `prompt * `string 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



## 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"
  }
  ```
