lucid-origin
For: Generate prompt-responsive images with Leonardo's Lucid Origin model.
Inputs: account_id (STRING), prompt (STRING), optional guidance, seed, height, width, num_steps.
Outputs: image_base64 (STRING).
phoenix-1.0
For: Create images with Leonardo's Phoenix 1.0 model and accurate text rendering.
Inputs: account_id (STRING), prompt (STRING), optional guidance, seed, height, width, num_steps, negative_prompt.
Outputs: image_base64 (STRING).
flux-1-schnell
For: Generate images using Black Forest Labs' FLUX.1 schnell model.
Inputs: account_id (STRING), prompt (STRING), optional steps.
Outputs: image_base64 (STRING).
stable-diffusion-xl-lightning
For: Quickly render 1024px images with SDXL Lightning.
Inputs: account_id (STRING), prompt (STRING), optional negative_prompt, height, width, image, image_b64, mask, num_steps, strength, guidance, seed.
Outputs: image_base64 (STRING).
dreamshaper-8-lcm
For: Produce photorealistic images with Dreamshaper 8 LCM.
Inputs: account_id (STRING), prompt (STRING).
Outputs: image_base64 (STRING).
stable-diffusion-v1-5-img2img
For: Transform an input image using a text prompt.
Inputs: account_id (STRING), prompt (STRING), optional negative_prompt, height, width, image, image_b64, mask, num_steps, strength, guidance, seed.
Outputs: image_base64 (STRING).
stable-diffusion-v1-5-inpainting
For: Inpaint an image using a mask and text prompt.
Inputs: account_id (STRING), prompt (STRING), image (STRING), mask (STRING).
Outputs: image_base64 (STRING).
stable-diffusion-xl-base-1.0
For: Generate images with Stability AI's SDXL Base 1.0 model.
Inputs: account_id (STRING), prompt (STRING), optional negative_prompt, height, width, image, image_b64, mask, num_steps, strength, guidance, seed.
Outputs: image_base64 (STRING).
m2m100-1.2b
For: Translate text between languages.
Inputs: account_id (STRING), text (STRING), source_language (STRING), target_language (STRING).
Outputs: translated_text (STRING), usage (DICT).
gpt-oss-20b
For: Generate text responses with OpenAI's GPT-OSS 20B model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
gpt-oss-120b
For: Generate text responses with OpenAI's GPT-OSS 120B model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
deepseek-r1-distill-qwen-32b
For: Generate reasoning-focused responses with DeepSeek R1 Distilled Qwen 32B.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-4-scout-17b-16e-instruct
For: Chat with Meta's Llama 4 Scout 17B model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-3.3-70b-instruct-fp8-fast
For: Chat with Meta's Llama 3.3 70B FP8 Fast model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-3.1-8b-instruct-fast
For: Chat with Meta's Llama 3.1 8B Fast model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
mistral-small-3.1-24b-instruct
For: Chat with Mistral's Small 3.1 24B Instruct model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
qwq-32b
For: Chat with Qwen's QWQ 32B model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
qwen2.5-coder-32b-instruct
For: Generate and complete code with Qwen2.5 Coder 32B model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
gemma-3-12b-it
For: Chat with Google's Gemma 3 12B IT model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING), guided_json (STRING).
Outputs: result (DICT).
llama-guard-3-8b
For: Evaluate conversation safety with Meta's Llama Guard 3 8B model.
Inputs: account_id (STRING), user_message (STRING), assistant_message (STRING).
Outputs: result (DICT), safe (BOOLEAN), categories (LIST).
gpt-4o-mini
For: Chat with OpenAI's GPT-4o Mini model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
phi-3-mini-128k-instruct
For: Chat with Microsoft's Phi-3 Mini 128K Instruct model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
phi-3-medium-128k-instruct
For: Chat with Microsoft's Phi-3 Medium 128K Instruct model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-3.2-1b-instruct
For: Chat with Meta's Llama 3.2 1B Instruct model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-3.2-3b-instruct
For: Chat with Meta's Llama 3.2 3B Instruct model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-3.2-11b-vision-instruct
For: Chat with Meta's Llama 3.2 11B Vision Instruct model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-3.1-8b-instruct-awq
For: Chat with Meta's Llama 3.1 8B Instruct AWQ model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-3.1-8b-instruct-fp8
For: Chat with Meta's Llama 3.1 8B Instruct FP8 model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-3.1-8b-instruct
For: Chat with Meta's Llama 3.1 8B Instruct model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
meta-llama-3-8b-instruct
For: Chat with Meta Llama 3 8B Instruct model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-3-8b-instruct-awq
For: Chat with Meta's Llama 3 8B Instruct AWQ model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-3-8b-instruct
For: Chat with Meta's Llama 3 8B Instruct model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
mistral-7b-instruct-v0.2
For: Chat with MistralAI's Mistral 7B Instruct v0.2 model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
gemma-7b-it-lora
For: Chat with Google's Gemma 7B IT LoRA model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
gemma-2b-it-lora
For: Chat with Google's Gemma 2B IT LoRA model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-2-7b-chat-hf-lora
For: Chat with Meta's Llama 2 7B Chat HF LoRA model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
gemma-7b-it
For: Chat with Google's Gemma 7B IT model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
hermes-2-pro-mistral-7b
For: Chat with NousResearch's Hermes 2 Pro Mistral 7B model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
mistral-7b-instruct-v0.2-lora
For: Chat with MistralAI's Mistral 7B Instruct v0.2 LoRA model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
phi-2
For: Chat with Microsoft's Phi-2 model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
sqlcoder-7b-2
For: Generate SQL with Defog's SQLCoder 7B 2 model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-2-7b-chat-fp16
For: Chat with Meta's Llama 2 7B Chat FP16 model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
mistral-7b-instruct-v0.1
For: Chat with MistralAI's Mistral 7B Instruct v0.1 model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-2-7b-chat-int8
For: Chat with Meta's Llama 2 7B Chat INT8 model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
llama-3.1-70b-instruct
For: Chat with Meta's Llama 3.1 70B Instruct model.
Inputs: account_id (STRING), prompt (STRING), system_prompt (STRING).
Outputs: result (DICT).
whisper-tiny-en
For: Transcribe English speech to text using OpenAI's Whisper Tiny model.
Inputs: account_id (STRING), audio (STRING).
Outputs: text (STRING).
aura-1
For: Convert text to natural speech with Deepgram's Aura 1 model.
Inputs: account_id (STRING), text (STRING), optional speaker, encoding, container, sample_rate, bit_rate.
Outputs: audio_base64 (STRING).
melotts
For: Generate multilingual speech using MyShell.ai's MeloTTS model.
Inputs: account_id (STRING), prompt (STRING), optional lang.
Outputs: audio_base64 (STRING).
bart-large-cnn
For: Summarize text with Facebook's BART Large CNN model.
Inputs: account_id (STRING), input_text (STRING), optional max_length.
Outputs: summary (STRING).
bge-large-en-v1.5
For: Create 1024-d embeddings with BAAI's BGE Large v1.5 model.
Inputs: account_id (STRING), text (STRING), optional pooling.
Outputs: data (LIST), shape (LIST), pooling (STRING).
bge-base-en-v1.5
For: Generate 768-d embeddings with BAAI's BGE Base v1.5 model.
Inputs: account_id (STRING), text (STRING), optional pooling.
Outputs: data (LIST), shape (LIST), pooling (STRING).
bge-small-en-v1.5
For: Produce 384-d embeddings with BAAI's BGE Small v1.5 model.
Inputs: account_id (STRING), text (STRING), optional pooling.
Outputs: data (LIST), shape (LIST), pooling (STRING).
bge-m3
For: Obtain multilingual embeddings with BAAI's BGE M3 model.
Inputs: account_id (STRING), text (STRING), optional pooling.
Outputs: data (LIST), shape (LIST), pooling (STRING).
distilbert-sst-2-int8
For: Classify sentiment using HuggingFace's DistilBERT SST-2 INT8 model.
Inputs: account_id (STRING), text (STRING).
Outputs: label (STRING), score (NUMBER).
bge-reranker-base
For: Score relevance between a query and passages with BAAI's BGE Reranker Base model.
Inputs: account_id (STRING), query (STRING), contexts (LIST).
Outputs: response (LIST).
llava-1.5-7b-hf
For: Describe images or answer questions with LLaVA 1.5 7B.
Inputs: account_id (STRING), image (STRING), optional prompt.
Outputs: result (DICT).
uform-gen2-qwen-500m
For: Caption images or answer visual questions with UNUM's UForm Gen2 Qwen 500M.
Inputs: account_id (STRING), image (STRING), optional prompt.
Outputs: result (DICT).
nova-3
For: Transcribe audio using Deepgram's Nova-3 speech-to-text model.
Inputs: account_id (STRING), audio (STRING), content_type (STRING), optional language, detect_language.
Outputs: result (DICT).
whisper
For: Transcribe speech with OpenAI's Whisper model.
Inputs: account_id (STRING), audio (STRING), optional task.
Outputs: text (STRING).
resnet-50
For: Classify images using Microsoft's ResNet-50 model.
Inputs: account_id (STRING), image (STRING).
Outputs: result (LIST).
smart-turn-v2
For: Detect end-of-turn in audio with PipeCat.ai's Smart Turn v2.
Inputs: account_id (STRING), audio (STRING), optional dtype.
Outputs: result (DICT), is_complete (BOOLEAN), probability (NUMBER).