> ## Documentation Index > Fetch the complete documentation index at: https://docs.modelslab.com/llms.txt > Use this file to discover all available pages before exploring further. # Multi LoRA > Create images from text using a variety of LoRA models. You can find a list of the public and LoRA models available and their IDs **[here](https://modelslab.com/models)**. ## Request Make a `POST` request to below endpoint and pass the required parameters in the request body. ```curl curl theme={null} --request POST 'https://modelslab.com/api/v6/images/text2img' \ ``` ## Body ```json json theme={null} { "key":"your_api_key", "model_id": "f222-diffusion", "prompt": "a female model doing photoshoot, ultra realistic face, ultra high resolution, 4K image", "negative_prompt": "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime", "width": "512", "height": "512", "samples": "1", "num_inference_steps": "31", "safety_checker": "yes", "seed": null, "guidance_scale": 7.5, "upscale": "no", "lora_model": "teddy-jacket-v1-0,a-simple-china-dress-v6-0", "lora_strength": "0.45,0.55", "scheduler": "UniPCMultistepScheduler", "webhook": null, "track_id": null } ``` ## OpenAPI ````yaml POST /text2img openapi: 3.1.0 info: title: ModelsLab Dreambooth Image Generation API description: >- A focused API for AI-driven image generation using Dreambooth models, including text-to-image, image-to-image, inpainting, and model management capabilities. license: name: MIT version: 6.0.0 servers: - url: https://modelslab.com/api/v6/images description: Dreambooth Image Generation API v6 server security: [] paths: /text2img: post: summary: Text-to-Image description: >- Creates an image from a text prompt using Dreambooth models. This endpoint supports both single and multiple LoRA models for enhanced results. requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/TextToImageRequest' responses: '200': description: Text-to-image generation response content: application/json: schema: oneOf: - $ref: '#/components/schemas/ImageGenerationSuccessResponse' - $ref: '#/components/schemas/ImageGenerationProcessingResponse' - $ref: '#/components/schemas/ImageGenerationErrorResponse' '400': $ref: '#/components/responses/StandardErrorResponse' '401': $ref: '#/components/responses/StandardErrorResponse' '500': $ref: '#/components/responses/StandardErrorResponse' components: schemas: TextToImageRequest: type: object allOf: - $ref: '#/components/schemas/CommonImageGenerationParams' required: - key - model_id - prompt properties: model_id: type: string description: >- The ID of the model to be used. It can be a public model or one you have trained. multi_lingual: type: boolean default: false description: >- Allow multilingual prompts. Set to 'true' if using a language other than English. upscale: type: boolean default: false description: Set to 'true' to upscale the image resolution two times (2x). highres_fix: type: boolean default: false description: Enable high-resolution fix for generated images. ImageGenerationSuccessResponse: type: object properties: status: type: string enum: - success description: Status of the image generation. generationTime: type: number description: Time taken to generate the image in seconds. id: type: integer description: Unique identifier for the image generation request. output: type: array items: type: string format: uri description: Array of generated image URLs. proxy_links: type: array items: type: string format: uri description: Array of proxy image URLs. meta: type: object description: Metadata about the image generation including all parameters used. additionalProperties: true nsfw_content_detected: type: boolean description: Indicates if NSFW content was detected in the generated image. webhook_status: type: string description: Status of the webhook notification. tip: type: string description: Additional information or tips for the user. ImageGenerationProcessingResponse: type: object properties: status: type: string enum: - processing description: Status of the image generation. tip: type: string description: Information about faster processing options. tip_1: type: string description: Additional tip, usually pointing to the fetch API. eta: type: number description: Estimated time for completion in seconds. message: type: string description: Processing status message. webhook_status: type: string description: Status of the webhook notification. fetch_result: type: string format: uri description: URL to fetch the result when processing. id: type: integer description: Unique identifier for the image generation request. output: type: array items: type: string description: Empty array during processing. meta: type: object description: Metadata about the image generation including all parameters used. additionalProperties: true future_links: type: array items: type: string format: uri description: Array of future image URLs for queued requests. ImageGenerationErrorResponse: type: object required: - status - message properties: status: type: string enum: - error message: type: string description: Error message description. CommonImageGenerationParams: type: object properties: key: type: string description: Your API Key used for request authorization. prompt: type: string description: A text description of what you want in the generated image. negative_prompt: type: string description: Items you don't want in the image. enhance_prompt: type: boolean default: 'yes' description: >- If true, the prompt will be enhanced for better results. Default is (true). width: type: integer default: 512 maximum: 1024 description: The width of the image in pixels. height: type: integer default: 512 maximum: 1024 description: The height of the image in pixels. samples: type: integer default: 1 maximum: 4 description: The number of images to be returned in response. Maximum is 4. num_inference_steps: type: integer default: 31 minimum: 1 maximum: 20 description: >- The number of denoising steps. Values range from 1 to 20, and any value above 20 will be capped at 20. safety_checker: type: boolean default: false description: >- A checker for NSFW images. If detected, such images will be replaced by a blank image. safety_checker_type: $ref: '#/components/schemas/SafetyCheckerTypeEnum' seed: oneOf: - type: integer - type: 'null' description: >- Seed for reproducible results. The same seed generates the same image. Pass null for a random number. guidance_scale: type: number default: 7.5 minimum: 1 maximum: 20 description: Scale for classifier-free guidance. use_karras_sigmas: type: boolean default: true description: Use Karras sigmas to generate images. Produces nice results. algorithm_type: type: string enum: - none - dpmsolver+++ default: none description: Used in DPMSolverMultistepScheduler scheduler. vae: type: string nullable: true description: Use a custom VAE for generating images. Default is null. lora_strength: type: integer description: >- Strength of the LoRa model(s). If multiple LoRa models, provide comma-separated values (0.1 to 1). lora_model: type: string description: >- LoRa model ID(s). Multiple LoRa models are supported; pass comma-separated values (e.g., 'contrast-fix,yae-miko-genshin'). clip_skip: type: integer default: 2 minimum: 1 maximum: 8 description: Number of CLIP layers to skip. base64: type: boolean default: false description: >- If true, response output is base64 string. Input images can also be base64. temp: type: boolean default: false description: If true, stores image in temporary storage (cleaned every 24 hours). webhook: type: string format: uri description: URL to receive a POST API call once image generation is complete. track_id: type: string description: Unique ID used in webhook response to identify the request. ip_adapter_id: $ref: '#/components/schemas/IPAdapterIDEnum' ip_adapter_scale: type: number minimum: 0 maximum: 1 description: Scale for the IP adapter (0 to 1). ip_adapter_image: type: string format: uri description: Valid image URL for IP adapter. scheduler: $ref: '#/components/schemas/SchedulerEnum' SafetyCheckerTypeEnum: type: string enum: - blur - sensitive_content_text - pixelate - black default: sensitive_content_text description: How to modify the image if NSFW content is found. IPAdapterIDEnum: type: string enum: - ip-adapter_sdxl - ip-adapter_sd15 - ip-adapter-plus-face_sd15 - ip-adapter-plus_sdxl_vit-h - ip-adapter-plus-face_sdxl_vit-h description: IP adapter ID. SchedulerEnum: type: string enum: - DDPMScheduler - DDIMScheduler - PNDMScheduler - LMSDiscreteScheduler - EulerDiscreteScheduler - EulerAncestralDiscreteScheduler - DPMSolverMultistepScheduler - HeunDiscreteScheduler - KDPM2DiscreteScheduler - DPMSolverSinglestepScheduler - KDPM2AncestralDiscreteScheduler - UniPCMultistepScheduler - DDIMInverseScheduler - DEISMultistepScheduler - IPNDMScheduler - KarrasVeScheduler - ScoreSdeVeScheduler - LCMScheduler description: Available schedulers for image generation. responses: StandardErrorResponse: description: >- Bad request (invalid parameters), unauthorized (invalid API key), or internal server error. content: application/json: schema: $ref: '#/components/schemas/ImageGenerationErrorResponse' ````