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crazywoola
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Mar 25, 2026
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Thanks for the submission. I ran the package through local marketplace checks for PR #2200.
| Check | Status | Required action |
|---|---|---|
Single .difypkg |
✅ Pass | None |
| PR language | ✅ Pass | None |
Project structure (manifest.yaml, README.md, PRIVACY.md, _assets/) |
✅ Pass | None |
| README language | ✅ Pass | None |
dify_plugin version |
❌ Fail | Bump the lower bound from >=0.4.0 to >=0.5.0 in requirements.txt |
| Install test | ✅ Pass | None |
| Packaging test | ✅ Pass | None |
Next steps
- Update
dify_pluginto>=0.5.0inrequirements.txt.
Once that is fixed, this PR should be ready for another pass.
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Plugin Submission Form
1. Metadata
2. Submission Type
3. Description
This plugin provides image generation capabilities for Dify based on ModelScope API‑Inference, supporting both text‑to‑image and image‑to‑image functionality. With just a ModelScope API Key, users can call a wide range of AIGC models (e.g., Tongyi-MAI/Z-Image-Turbo, MusePublic/489_ckpt_FLUX_1, Qwen/Qwen-Image-2512, etc.) within Dify workflows, and flexibly adjust parameters such as aspect ratio, resolution, sampling steps, guidance scale, random seed, and LoRA models to achieve high‑quality image generation.
4. Checklist
5. Documentation Checklist
Please confirm that your plugin README includes all necessary information:
6. Privacy Protection Information
Based on Dify Plugin Privacy Protection Guidelines:
Data Collection
This plugin does not actively collect any user personal data. The plugin only passes user‑provided prompts, image files, and the API Key to the ModelScope API for image generation. All data transmission follows ModelScope API security practices. The plugin does not store any user information.
Privacy Policy