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  1. Products
  2. Workers AI
  3. Models
  4. dreamshaper-8-lcm

dreamshaper-8-lcm

Beta

Model ID: @cf/lykon/dreamshaper-8-lcm

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

More Information  

​​ Properties

Task Type: Text-to-Image

​​ Code Examples

Workers - TypeScript
import { Ai } from "@cloudflare/ai";



export interface Env {
  AI: Ai;

}



export default {
  async fetch(request: Request, env: Env) {
    const ai = new Ai(env.AI);


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


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


    return new Response(response, {
      headers: {
        "content-type": "image/png",
      },
    });
  },

};
curl
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" }'

​​ Response

The response is a binary PNG file.

​​ API Schema

The following schema is based on JSON Schema

Input JSON Schema
{

"type": "object",

"properties": {
  "prompt": {
    "type": "string"
  },
  "image": {
    "oneOf": [
      {
        "type": "string",
        "format": "binary"
      },
      {
        "type": "object",
        "properties": {
          "image": {
            "type": "array",
            "items": {
              "type": "number"
            }
          }
        }
      }
    ]
  },
  "mask": {
    "oneOf": [
      {
        "type": "string",
        "format": "binary"
      },
      {
        "type": "object",
        "properties": {
          "mask": {
            "type": "array",
            "items": {
              "type": "number"
            }
          }
        }
      }
    ]
  },
  "num_steps": {
    "type": "integer",
    "default": 20,
    "maximum": 20
  },
  "strength": {
    "type": "number",
    "default": 1
  },
  "guidance": {
    "type": "number",
    "default": 7.5
  }

},

"required": [
  "prompt"

]

}
Output JSON Schema
{

"type": "string",

"contentType": "image/png",

"format": "binary"

}