MasterA AI
MasterA AI runs open AI models on its own GPUs, powered by solar energy. Its APIs give your app transcription, chat, image generation and video generation, with each model sized to the task. You get proven open models in production, and MasterA runs the GPUs and pays the energy cost.
Services from MasterA AI
4 liveGenerate Text to Video With LTX Video (RTX 5090)
This service turns a text prompt or a source photo into a short MP4 video using LTX video generation on a dedicated NVIDIA RTX 5080. Text to Video — Send a prompt, and you can optionally tune cfg, seed, steps, width, height, length, and negativeprompt to control guidance, reproducibility, frame count, and output size. Use the POST /v1/ltx/generate endpoint to start the job. Image to Video — Send an image (base64-encoded) and a prompt describing the motion, and optionally tune quality (fast, balanced, or best), resolution (sd or hd), negativeprompt, and seed. Use the POST /v1/ltx/i2v endpoint to animate a photo while keeping the composition of the source image. Use it to animate a product photo, portrait, or scene image into a short cinematic clip. Both endpoints start a generation task and return a status, message, and taskid. Use the shared GET /v1/tasks/:taskid endpoint to check progress until the job reaches completed or error. When the video is ready, the task status response includes an output_url to the finished MP4. Use this service when you need short motion clips from a script, product concept, storyboard note, or scene description — or when you want to bring a still image to life. It is a fit for prototyping video ideas, creating demo assets, animating product photos, or generating synthetic motion content without a manual editing workflow. Because outputs are task-based, you can kick off generation and poll asynchronously while your app continues other work. That makes it easy to slot into content pipelines, creative tools, or internal review systems where you need a generated clip and a reliable completion signal. Notes: Text-to-video and image-to-video with LTX-Video 13B (distilled) on a dedicated NVIDIA RTX 5080. Text-to-video generates a ~4-second cinematic clip in ~30 seconds; image-to-video generates a ~5-second clip in ~20-40 seconds depending on quality/resolution tier.
MasterA AIVerifiedGenerate Text to Video With LTX 2 Video (RTX 5090)
This service turns a text prompt or a source photo into a short LTX-2 video on a dedicated NVIDIA RTX 5090, and gives you a task ID to track progress. Text to Video — Send a prompt, and optionally seed, model, length, quality, and resolution. Use the POST /v1/video/generate endpoint to start the job. length supports 3s, 5s, or 10s, quality can be fast, balanced, or best, and resolution can be sd or hd. Image to Video — Send an image (base64-encoded) and a prompt describing the motion, and optionally seed, length (3s, 5s, or 10s), quality (fast, balanced, or best), and resolution (sd or hd). Use the POST /v1/video/i2v-ltx2 endpoint to animate a photo while keeping the composition of the source image — a good fit for ad mockups, product demos, and social content. Both endpoints respond with status, message, and taskid so you can store the job and poll later. Poll the shared GET /v1/video/tasks/:taskid endpoint until the job reaches completed or error. The status response includes type, status, taskid, elapseds, and, when generation finishes, an output_url for the final MP4. If something fails, check the error field on the task response. This service is a good fit for ad mockups, concept previews, social clips, and internal creative iteration where a short video draft is enough — whether starting from a text description or animating an existing photo. Notes: Text-to-video and image-to-video with LTX-2 19B (distilled) on a dedicated NVIDIA RTX 5090. Text-to-video generates a ~5-second cinematic clip in ~30-60 seconds; image-to-video generates a ~5-second clip in ~30-60 seconds.
MasterA AIVerifiedGenerate Text to Image Job API
GPU Image Generation creates images from text prompts and returns a task you can poll for progress. Use it when you need fast, model-backed image generation without managing your own inference stack. Send a prompt and, optionally, seed, steps, width, and height to the Flux.1-Schnell endpoint or the SDXL-Turbo endpoint. The Turbo variant also accepts negativeprompt so you can steer the output away from unwanted elements. Both generation endpoints respond with status, message, and taskid, which you use with GET /tasks/:taskid to check progress. Polling /tasks/:taskid returns the current status, a human-readable message, the taskid, and, when the task is complete, an outputurl for the generated file. If the task fails, the same status response includes error. This service fits product features like prompt-based asset creation, concept mockups, social content generation, or internal design tooling where developers need an image job API with asynchronous results and reproducible seeds.
MasterA AIVerifiedConvert Speech to Text with (Whisper Large-v3)
Whisper Speech to Text transcribes speech in an audio file using OpenAI Whisper large-v3. Upload a WAV, MP3, M4A, or other common audio file as the file field of a multipart/form-data request, and the transcript comes back in a single synchronous call. There are no job IDs and no polling. The response is a small JSON object with three fields. text holds the transcript, or an empty string when no speech is found. language is the auto-detected language as an ISO 639-1 code, such as en. duration is the length of the input audio in seconds, which is useful for logging usage or checking what was processed. Use it for voice notes, call and meeting transcription, subtitle drafts, podcast and video indexing, voice-driven search, and any workflow that needs recorded speech as searchable text. Language detection is automatic, so you don't need to know the spoken language in advance. A file that can't be decoded as audio returns 400, and a request without a file field returns 422. Note: Runs OpenAI Whisper large-v3 (faster-whisper) on a dedicated NVIDIA RTX 5080 GPU. Response time scales with audio length: a few seconds for short clips and around 8 seconds for a one-minute recording.
MasterA AIVerified