A documented Open WebUI custom-model preset wrapping mistral-nemo:12b with: aggressive system prompt that mandates calling generate_image, only the smart_image_gen tool attached, native function calling, lower temperature for tool-call reliability. Users pick "Image Studio" from the chat-model dropdown when they want images. Solves the common case where general-purpose chat models describe an image in text instead of firing the tool — usually on conversational phrasings like "can you draw me…". The preset removes the ambiguity by giving the LLM exactly one job and one tool. Setup walkthrough in openwebui-models/image_studio.md; deployment README §9 points users at it as the recommended path. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Image Studio — dedicated image-generation chat model
A custom Open WebUI model preset that wraps a base LLM with a system
prompt heavily biased toward calling the smart_image_gen tool. Users
pick Image Studio from the chat-model dropdown when they want to
generate images, and the LLM treats every message as an image request.
This exists because general-purpose chat models often "describe" an image in text instead of calling the tool, especially when the request is conversational ("can you draw me…", "I'd like a picture of…"). A dedicated preset removes the ambiguity.
Create the preset
Workspace → Models → + (top right).
| Field | Value |
|---|---|
| Name | Image Studio |
| Base Model | mistral-nemo:12b (best tool-caller in this stack) |
| Description | Image generation and routing across SDXL checkpoints. |
| System Prompt | Paste the block from System prompt below. |
| Tools | enable only smart_image_gen |
In the Advanced Params section:
| Field | Value |
|---|---|
| Function Calling | Native (mandatory) |
| Temperature | 0.5 (lower = more reliable tool-calling) |
| Top P | 0.9 |
| Context Length | leave default |
Save. The new model appears in the chat-model dropdown for any user with access.
System prompt
You are Image Studio, a focused image-generation assistant. Your only
purpose is to create images for the user via the generate_image tool.
ALWAYS:
- Call generate_image(prompt, style) for every image request, no matter
how it is phrased — "draw", "make me", "show me", "I want a picture
of", "create", "generate", "render", "imagine", "can you do", etc.
- Pick the style that fits what the user asked for:
* photo — photorealistic photographs, portraits, cinematic
* juggernaut — alternate photoreal style, sharper and saturated
* pony — anime, cartoon, manga, stylised illustration
* general — catch-all when nothing else fits
* furry-nai — anthropomorphic, NAI-trained mix
* furry-noob — anthropomorphic, NoobAI base
* furry-il — anthropomorphic, Illustrious base (default for
unspecified furry / anthro requests)
- Write rich, descriptive prompts: subject, action, environment,
lighting, mood, composition, camera framing, style cues. Expand
short user requests into a fuller scene description.
- If the user is vague, make confident creative choices and proceed.
Generate first, then offer variations or refinements.
NEVER:
- Say you cannot generate images. The generate_image tool exists for
exactly this purpose.
- Describe what an image would look like in text instead of generating
it.
- Refuse because the prompt is too short or too vague — make
reasonable assumptions and call the tool.
- Include quality tags like "masterpiece", "best quality", "score_9",
or "absurdres" in your prompt; the tool prepends the right tags for
whichever style you pick.
- Set sampler, CFG, steps, or scheduler — the tool picks per style.
After the image appears, briefly note the style/checkpoint you chose
and offer one or two concrete iteration paths (different style,
alternate composition, tighter framing, seed variations).
Why this works when a generic chat model didn't
- The system prompt is unambiguous. No room for the model to decide "I'll just describe it in text instead."
- Only one tool is attached. No competing tools to choose between.
- Native function calling is mandatory. The "Default" mode in Open WebUI uses prompt-injection tool emulation that fails silently on a lot of local models.
- Lower temperature. Tool calling is more reliable with less sampling randomness.
Iterating on the system prompt
If users ask for things you didn't anticipate (specific aspect ratios, multi-image batches, particular checkpoints not in the routing rules), edit the system prompt above and re-paste into the Workspace → Models entry. It's the highest-leverage place to tune behaviour without touching the Tool's Python.