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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.

    Usage

    Workers - TypeScript

     
    export interface Env {
      AI: Ai;
    }
    

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

        const inputs = {
          prompt: "cyberpunk cat",
        };
    

        const response = await env.AI.run(
          "@cf/lykon/dreamshaper-8-lcm",
          inputs
        );
    

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

    curl
    Terminal window
    curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/lykon/dreamshaper-8-lcm  \
      -X POST  \
      -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN"  \
      -d '{ "prompt": "cyberpunk cat" }'

    Parameters

    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

    {
        "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"
        ]
    }
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