Together AI Image Generation Skill for Claude Code

What it is

This skill teaches Claude Code how to use Together AI's image generation API. It covers FLUX and Kontext models for text-to-image generation, image editing, and style transfer workflows. With this skill active, Claude Code can generate correct API calls with proper parameters for each model variant.

Developers who want to integrate AI image generation into their projects through Claude Code will get accurate, working API calls instead of guessing at parameter names and model identifiers.

How it saves time or tokens

Together AI's image API has model-specific parameters that differ between FLUX and Kontext variants. Without this skill, you would need to reference documentation for each model and correct the agent's mistakes. The skill encodes the correct parameters, model names, and request formats, reducing prompt length and eliminating trial-and-error cycles.

The skill covers an estimated 2,600 tokens of domain knowledge that would otherwise need to be included in your prompts.

How to use

1. Add the Together AI Image Generation skill to your Claude Code configuration.
2. Prompt Claude Code to generate images using Together AI's API.
3. Specify the model variant (FLUX or Kontext) and the task (text-to-image, editing, or style transfer).

Example

import requests

url = 'https://api.together.xyz/v1/images/generations'
headers = {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
}
payload = {
    'model': 'black-forest-labs/FLUX.1-schnell',
    'prompt': 'A serene mountain landscape at sunset, photorealistic',
    'width': 1024,
    'height': 768,
    'n': 1
}
response = requests.post(url, headers=headers, json=payload)
image_url = response.json()['data'][0]['url']
print(image_url)

Related on TokRepo

• AI tools for design — Other AI-powered design and image generation tools.
• AI tools for content — Tools for generating visual content with AI.

Common pitfalls

• Using the wrong model identifier string. Together AI model names include the organization prefix (e.g., 'black-forest-labs/FLUX.1-schnell') and must be exact.
• Setting image dimensions that the model does not support. Each model has specific resolution constraints.
• Forgetting to handle the asynchronous response for larger images. Some generation requests return a job ID that requires polling.