diff --git a/src/main/kotlin/tools/ImageEdit.kt b/src/main/kotlin/tools/ImageEdit.kt
new file mode 100644
index 0000000..12cf3d8
--- /dev/null
+++ b/src/main/kotlin/tools/ImageEdit.kt
@@ -0,0 +1,112 @@
+package top.jie65535.mirai.tools
+
+import com.aallam.openai.api.chat.Tool
+import com.aallam.openai.api.core.Parameters
+import io.ktor.client.call.body
+import io.ktor.client.request.header
+import io.ktor.client.request.post
+import io.ktor.client.request.setBody
+import io.ktor.client.statement.bodyAsText
+import io.ktor.http.ContentType
+import io.ktor.http.contentType
+import kotlinx.serialization.json.Json
+import kotlinx.serialization.json.JsonObject
+import kotlinx.serialization.json.add
+import kotlinx.serialization.json.addJsonObject
+import kotlinx.serialization.json.buildJsonObject
+import kotlinx.serialization.json.jsonArray
+import kotlinx.serialization.json.jsonObject
+import kotlinx.serialization.json.jsonPrimitive
+import kotlinx.serialization.json.put
+import kotlinx.serialization.json.putJsonArray
+import kotlinx.serialization.json.putJsonObject
+import top.jie65535.mirai.JChatGPT
+import top.jie65535.mirai.PluginConfig
+
+class ImageEdit : BaseAgent(
+    tool = Tool.function(
+        name = "imageEdit",
+        description = "可通过调用图像编辑模型来修改图片。备注：该方法成本较高，非必要尽量不要调用。编辑图片前无需识别图片内容，图像编辑模型自己会理解图片内容！",
+        parameters = Parameters.buildJsonObject {
+            put("type", "object")
+            putJsonObject("properties") {
+                putJsonObject("image_url") {
+                    put("type", "string")
+                    put("description", "原始图片地址")
+                }
+                putJsonObject("prompt") {
+                    put("type", "string")
+                    put("description", "正向提示词，用来描述需要对图片进行修改的要求。")
+                }
+                putJsonObject("negative_prompt") {
+                    put("type", "string")
+                    put("description", "反向提示词，用来描述不希望在画面中看到的内容，可以对画面进行限制。" +
+                            "示例值：低分辨率、错误、最差质量、低质量、残缺、多余的手指、比例不良等。")
+                }
+            }
+            putJsonArray("required") {
+                add("image_url")
+                add("prompt")
+            }
+        }
+    )
+) {
+    companion object {
+        const val API_URL = "https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation"
+    }
+
+    override val isEnabled: Boolean
+        get() = PluginConfig.dashScopeApiKey.isNotEmpty()
+
+    override val loadingMessage: String
+        get() = "图片编辑中..."
+
+    override suspend fun execute(args: JsonObject?): String {
+        requireNotNull(args)
+        val imageUrl = args.getValue("image_url").jsonPrimitive.content
+        val prompt = args.getValue("prompt").jsonPrimitive.content
+        val negativePrompt = args["negative_prompt"]?.jsonPrimitive?.content
+        val response = httpClient.post(API_URL) {
+            contentType(ContentType("application", "json"))
+            header("Authorization", "Bearer " + PluginConfig.dashScopeApiKey)
+            setBody(buildJsonObject {
+                put("model", PluginConfig.imageEditModel)
+                putJsonObject("input") {
+                    putJsonArray("messages") {
+                        addJsonObject {
+                            put("role", "user")
+                            putJsonArray("content") {
+                                addJsonObject {
+                                    put("image", imageUrl)
+                                }
+                                addJsonObject {
+                                    put("text", prompt)
+                                }
+                            }
+                        }
+                    }
+                }
+                if (negativePrompt != null) {
+                    putJsonObject("parameters") {
+                        put("negative_prompt", negativePrompt)
+                    }
+                }
+            }.toString())
+        }
+
+        val responseJson = response.bodyAsText()
+        val responseObject = Json.parseToJsonElement(responseJson).jsonObject
+        return try {
+            val url = responseObject
+                .getValue("output").jsonObject
+                .getValue("choices").jsonArray[0].jsonObject
+                .getValue("message").jsonObject
+                .getValue("content").jsonArray[0].jsonObject
+                .getValue("image").jsonPrimitive.content
+            "图片已编辑完成，发送时请务必包含完整的url和查询参数，因为下载地址存在鉴权。图片地址：$url"
+        } catch (e: Exception) {
+            JChatGPT.logger.error("图像编辑结果解析异常", e)
+            responseObject.toString()
+        }
+    }
+}
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