Text-to-image generation and image editing via Together AI, including FLUX and Kontext models, LoRA-based styling, reference-image guidance, and local image downloads.
Text-to-image generation and image editing via Together AI, including FLUX and Kontext models, LoRA-based styling, reference-image guidance, and local image downloads.
Reach for it whenever the user wants to generate or edit images on Together AI rather than create videos or build text-only chat applications.
Similar popular skills
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Claude CodeNot declared
CursorNot declared
CodexNot declared
GitHub CopilotNot declared
WindsurfNot declared
Gemini CLINot declared
ClineNot declared
OpenCodeNot declared
Repository health
Stars34
LicenseLICENSE
Default branchmain
Open issues0
Status
Active
Package contents
Files included with this skill beyond the listing page.
skill mdSKILL.md4,002 B
docsSUMMARY.md333 B
History
First seen on skills.sh
First recorded snapshot · 83 installs
SKILL.md
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/generateimage.py](scripts/generateimage.py) or [scripts/generateimage.ts](scripts/generateimage.ts) - Read [references/api-reference.md](references/api-reference.md)
Multiple variations, base64 output, or seeded runs
- Start with [scripts/generateimage.py](scripts/generateimage.py) or [scripts/generateimage.ts](scripts/generateimage.ts) - Read [references/api-reference.md](references/api-reference.md)
Image editing with Kontext
- Start with [scripts/kontextediting.py](scripts/kontextediting.py) - Read [references/api-reference.md](references/api-reference.md)
Generate then edit (e.g. product photos)
- Start with [scripts/kontextediting.py](scripts/kontextediting.py) (Example 7) - Generate with FLUX, feed the URL to Kontext, save both locally
LoRA styling
- Start with [scripts/lorageneration.py](scripts/lorageneration.py) - Read [references/api-reference.md](references/api-reference.md)
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](references/api-reference.md)
Troubleshooting and generation tuning: [references/api-reference.md](references/api-reference.md)
Model guide: [references/models.md](references/models.md)