together-images

Together Images

Overview

Use Together AI image APIs for:

• text-to-image generation
• image editing with Kontext
• FLUX.2-specific options
• LoRA adapters
• reference-image guidance

When This Skill Wins

• Generate still images from prompts
• Edit an existing image with text guidance
• Apply LoRA styles to FLUX models
• Choose image models or dimensions for a product workflow

Hand Off To Another Skill

• Use together-video for motion or video generation
• Use together-chat-completions for text-only generation
• Use together-dedicated-containers only when the user needs a custom image runtime rather than the managed API

Quick Routing

• Basic text-to-image
  • Start with scripts/generate_image.py or scripts/generate_image.ts
  • Read references/api-reference.md
• Multiple variations, base64 output, or seeded runs
  • Start with scripts/generate_image.py or scripts/generate_image.ts
  • Read references/api-reference.md
• Image editing with Kontext
  • Start with scripts/kontext_editing.py
  • Read references/api-reference.md
• Generate then edit (e.g. product photos)
  • Start with scripts/kontext_editing.py (Example 7)
  • Generate with FLUX, feed the URL to Kontext, save both locally
• LoRA styling
  • Start with scripts/lora_generation.py
  • Read references/api-reference.md
• Model and dimension selection
  • Read references/models.md

Workflow

1. Confirm whether the task is generation, editing, or style transfer.
2. Choose the model family and output dimensions first.
3. Add reference images, LoRAs, or FLUX.2-only parameters only when the use case needs them.
4. Generate the asset, then download or decode it into the expected local format.

High-Signal Rules

• Python scripts require the Together v2 SDK (together>=2.0.0). If the user is on an older version, they must upgrade first: uv pip install --upgrade "together>=2.0.0".
• Match the script to the workflow type instead of packing every image feature into one request path.
• Keep model selection explicit because FLUX, Kontext, and partner models differ in capabilities.
• Preserve reproducibility with seeds when the user needs stable outputs.
• For editing or reference-image flows, validate that the chosen model actually supports the feature.

Resource Map

• API reference: references/api-reference.md
• Troubleshooting and generation tuning: references/api-reference.md
• Model guide: references/models.md
• Python image generation: scripts/generate_image.py
• TypeScript image generation: scripts/generate_image.ts
• Python Kontext editing: scripts/kontext_editing.py
• Python LoRA generation: scripts/lora_generation.py

Official Docs

• Images Overview
• FLUX.2 Quickstart
• FLUX Kontext
• FLUX LoRA
• Image Generation API