# Generate Vector Graphics - Tailored (Beta) This route allows you to generate vector graphics using a Tailored Model. Tailored Models are trained on your visual IP (illustrations, photos, vectors) to preserve and faithfully reproduce specific IP elements or guidelines, ensuring consistency across all generated outputs. To see a detailed description of the tailored models' functionalities, please refer to the /text-to-image/tailored/{model_id} route documentation. *Text-to-vector is compatible with tailored models in the illustrative domain. This API endpoint supports content moderation via an optional parameter that can prevent generation if input images contain inappropriate content, and filters out unsafe generated images - the first blocked input image will fail the entire request. Endpoint: POST /text-to-vector/tailored/{model_id} ## Path parameters: - `model_id` (string, required) The model id of the tailored model you would like to use in the request. ## Header parameters: - `api_token` (string, required) ## Request fields (application/json): - `prompt` (string) The prompt you would like to use to generate images. Bria currently supports prompts in English only, excluding special characters. - `num_results` (integer) How many images you would like to generate. This parameter is optional. When fast=false, only num_results 1, 2 are supported. - `aspect_ratio` (string) The aspect ratio of the image. When a ControlNet is being used, the aspect ratio is defined by the guidance image and this parameter is ignored. Enum: "1:1", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4", "9:16", "16:9" - `sync` (boolean) Determines the response mode. When true, responses are synchronous. With false, responses are asynchronous, immediately providing URLs for images that are generated in the background. Use polling for the URLs to retrieve images once ready. This parameter is optional. When fast=false, it is recommended to use sync=false. - `fast` (boolean) Determines the generation mode. When true, the generation will utilize the fast mode which provides the best balance between speed and quality. When false, the regular mode will be utilized. At the moment, tailored models trained using the 'Max' training version, do not support fast generation. - `seed` (integer) You can choose whether you want your generated result to be random or predictable. You can recreate the same result in the future by using the seed value of a result from the response with the prompt, model type and model version. You can exclude this parameter if you are not interested in recreating your results. This parameter is optional. - `negative_prompt` (string) Specify here elements that you didn't ask in the prompt, but are being generated, and you would like to exclude. This parameter is optional. Bria currently supports prompts in English only. This parameter is only relevant when is set to . - `steps_num` (integer) The number of iterations the model goes through to refine the generated image. This parameter is optional. When fast=false, the default value is 30, the minimum is 20 and the maximum is 50. - `text_guidance_scale` (number) Determines how closely the generated image should adhere to the input text description. This parameter is optional. This parameter is only relevant when is set to . - `model_influence` (number) The influence of the tailored model on the generation. When the training data was minimal or less diverse, lower the influence to improve flexibility in the results. - `include_generation_prefix` (boolean) When true, the model's generation prefix is automatically prepended to your prompt to maintain consistency with the training data, while false allows you to override the training prefix and write the complete prompt yourself, including any preferred prefix text. - `prompt_content_moderation` (boolean) When enabled (default: true), the input prompt is scanned for NSFW or ethically restricted terms before image generation. If the prompt violates Bria's ethical guidelines, the request will be rejected with a 408 error. - `content_moderation` (boolean) When enabled, applies content moderation to both input visuals and generated outputs. For input images: - Processing stops at the first image that fails moderation - Returns a 422 error with details about which parameter failed For synchronous requests (sync=true): - If all generated images fail moderation, returns a 422 error - If some images pass and others fail, returns a 200 response with successful generations and "blocked" objects for failed ones For asynchronous requests (sync=false): - Failed images are replaced with zero-byte files at their placeholder URLs - Successful images are stored at their original placeholder URLs - `ip_signal` (boolean) Flags prompts with potential IP content. If detected, a warning will be included in the response. - `guidance_method_1` (string) Which guidance type you would like to include in the generation. Up to 2 guidance methods can be combined during a single inference. This parameter is optional. Enum: "controlnet_canny", "controlnet_depth", "controlnet_recoloring", "controlnet_color_grid" - `guidance_method_1_scale` (number) The impact of the guidance. - `guidance_method_1_image_file` (string) The image that should be used as guidance, in base64 format, with the method defined in guidance_method_1. Accepted formats are jpeg, jpg, png, webp. Maximum file size 12MB. If more then one guidance method is used, all guidance images must be of the same aspect ratio, and this will be the aspect ratio of the generated results. If guidance_method_1 is selected, an image must be provided. - `guidance_method_2` (string) Which guidance type you would like to include in the generation. Up to 2 guidance methods can be combined during a single inference. This parameter is optional. Enum: "controlnet_canny", "controlnet_depth", "controlnet_recoloring", "controlnet_color_grid" - `guidance_method_2_scale` (number) The impact of the guidance. - `guidance_method_2_image_file` (string) The image that should be used as guidance, in base64 format, with the method defined in guidance_method_2. Accepted formats are jpeg, jpg, png, webp. Maximum file size 12MB. If more then one guidance method is used, all guidance images must be of the same aspect ratio, and this will be the aspect ratio of the generated results. If guidance_method_1 is selected, an image must be provided. - `image_prompt_mode` (string) - : Uses the image’s content, style elements, and color palette to guide generation. - : Uses the image’s high-level style elements and color palette to influence the generated output. At the moment, tailored models trained using the 'Max' training version, do not support image prompt guidense. Enum: "regular", "style_only" - `image_prompt_file` (string) The image file to be used as guidance, in base64 format. Accepted formats are jpeg, jpg, png, webp. Maximum file size 12MB. This image can be of any aspect ratio, even when it's not alligned with the one defined in the parameter 'aspect_ratio' or by visuals provided to the ControlNets. - `image_prompt_urls` (array) A list of URLs of images that should be used as guidance. The images can be of different aspect ratios. Accepted formats are jpeg, jpg, png, webp. The URLs should point to accessible, publicly available images. - `image_prompt_scale` (number) The impact of the provided image on the generated results. A value between 0.0 (no impact) and 1.0 (full impact). ## Response 209 fields (application/json): - `result` (array) There are multiple objects in this array (based on the amount specified in num_results) and each object represents a single image or a blocked result.