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docs: remove stale MiniMax M2.5 refs and add image generation docs
After the M2.7-only catalog trim (#54487), update 10 docs files: - Replace removed M2.5/VL-01 model references across FAQ, wizard, config reference, local-models, and provider pages - Make local-models guide model-agnostic (generic LM Studio placeholder) - Add image-01 generation section to minimax.md - Leave third-party catalogs (Synthetic, Venice) unchanged
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@@ -14,6 +14,29 @@ OpenClaw's MiniMax provider defaults to **MiniMax M2.7**.
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- `MiniMax-M2.7`: default hosted text model.
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- `MiniMax-M2.7-highspeed`: faster M2.7 text tier.
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- `image-01`: image generation model (generate and image-to-image editing).
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## Image generation
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The MiniMax plugin registers the `image-01` model for the `image_generate` tool. It supports:
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- **Text-to-image generation** with aspect ratio control.
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- **Image-to-image editing** (subject reference) with aspect ratio control.
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- Supported aspect ratios: `1:1`, `16:9`, `4:3`, `3:2`, `2:3`, `3:4`, `9:16`, `21:9`.
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To use MiniMax for image generation, set it as the image generation provider:
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```json5
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{
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agents: {
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defaults: {
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imageGenerationModel: { primary: "minimax/image-01" },
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},
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},
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}
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```
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The plugin uses the same `MINIMAX_API_KEY` or OAuth auth as the text models. No additional configuration is needed if MiniMax is already set up.
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## Choose a setup
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@@ -20,7 +20,7 @@ background.
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## Recommended: Model Studio (Alibaba Cloud Coding Plan)
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Use [Model Studio](/providers/modelstudio) for officially supported access to
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Qwen models (Qwen 3.5 Plus, GLM-4.7, Kimi K2.5, MiniMax M2.5, and more).
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Qwen models (Qwen 3.5 Plus, GLM-4.7, Kimi K2.5, and more).
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```bash
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# Global endpoint
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@@ -74,7 +74,7 @@ override with a custom `baseUrl` in config.
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- **qwen3-coder-plus**, **qwen3-coder-next** — Qwen coding models
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- **GLM-5** — GLM models via Alibaba
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- **Kimi K2.5** — Moonshot AI via Alibaba
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- **MiniMax-M2.5** — MiniMax via Alibaba
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- **MiniMax-M2.7** — MiniMax via Alibaba
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Some models (qwen3.5-plus, kimi-k2.5) support image input. Context windows range from 200K to 1M tokens.
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