togethercomputer 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-videofor motion or video generation - Use
together-chat-completionsfor text-only generation - Use
together-dedicated-containersonly 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
- Confirm whether the task is generation, editing, or style transfer.
- Choose the model family and output dimensions first.
- Add reference images, LoRAs, or FLUX.2-only parameters only when the use case needs them.
- 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