Wireflow integrates dozens of AI models for image generation, video creation, audio synthesis, and more. This guide helps you find and use the right model for your project.

Browsing Models

When adding a node to a workflow, the node picker shows all available models organized by category:

• Image Generation — Flux, Stable Diffusion, DALL-E, and more
• Video Generation — Kling, Runway, Minimax, Wan
• Audio — Text-to-speech, music generation, sound effects
• Text / LLM — GPT, Claude, Gemini for text processing
• Utility — Face swap, upscaling, background removal

Each model card shows its name, a brief description, and credit cost per run.

Model Inputs and Outputs

Every model node has typed inputs and outputs:

Common Inputs

Input	Description
Prompt	Text instruction describing what to generate
Image	An input image (for image-to-video, style transfer, etc.)
Negative Prompt	What to avoid in the output
Aspect Ratio	Output dimensions like 16:9, 1:1, 9:16

Common Outputs

Output	Description
Image	A generated image (PNG/JPEG)
Video	A generated video (MP4)
Audio	Generated audio (MP3/WAV)
Text	Generated or processed text

Connecting Models

You can chain models by connecting the output of one to the input of another. Wireflow automatically validates that connections are compatible.

Example pipeline:

1. Text Input → provides the prompt
2. Flux Image → generates an image from the prompt
3. Kling Video → animates the image into a video

Model Settings

Click a model node to see its settings panel. Common options:

• Quality / Steps — More steps = higher quality, more credits
• Guidance Scale — How closely the model follows your prompt
• Seed — Fix a seed for reproducible outputs
• Duration — For video/audio models, the output length

Credit Costs

Different models cost different amounts of credits per run. More powerful models and longer outputs cost more. See Credits & Billing for details on purchasing credits.