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@@ -378,9 +378,10 @@ public class MiniPopularizeFrontServiceImpl implements MiniPopularizeFrontServic
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if (type == 1) {
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//出图数量 1-10 默认4张
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JSONObject json = new JSONObject();
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- json.putOpt("model", "gpt-image-1");
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+ json.putOpt("model", "sora_image");
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json.putOpt("n", 4);
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json.putOpt("size", "1024x1024");
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+ json.putOpt("response_format", "b64_json");
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json.putOpt("prompt", tips);
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ObjectMapper mapper = new ObjectMapper();
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String requestBody = mapper.writeValueAsString(json);
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@@ -396,8 +397,10 @@ public class MiniPopularizeFrontServiceImpl implements MiniPopularizeFrontServic
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// 创建 MultipartBody.Builder 来处理多个文件上传
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MultipartBody.Builder builder = new MultipartBody.Builder()
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.setType(MultipartBody.FORM)
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- .addFormDataPart("model", "gpt-image-1")
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+ .addFormDataPart("model", "sora_image")
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.addFormDataPart("n", "4")
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+ .addFormDataPart("response_format", "b64_json")
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+ .addFormDataPart("size", "1024x1024")
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.addFormDataPart("prompt", tips);
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//垫图
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imgs.forEach(mg -> {
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@@ -442,6 +445,8 @@ public class MiniPopularizeFrontServiceImpl implements MiniPopularizeFrontServic
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for (Object data : jsonObject.getJSONArray("data")) {
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JSONObject b64Json = Jsons.parseObject(data, JSONObject.class);
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String base64Image = b64Json.getStr("b64_json");
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+ //去掉前缀
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+ base64Image = base64Image.split(",")[1];
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// 解码 Base64 字符串
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byte[] imageBytes = Base64.getDecoder().decode(base64Image);
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String fileName = new StringBuilder().append("mgpt").append(RandomUtil.randomString(9)).append(".png").toString();
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zoujiajian