Name | Modified | Size | Downloads / Week |
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[Version 0.1.1] - 2025-03-17 source code.tar.gz | 2025-03-17 | 26.9 kB | |
[Version 0.1.1] - 2025-03-17 source code.zip | 2025-03-17 | 37.7 kB | |
README.md | 2025-03-17 | 2.2 kB | |
Totals: 3 Items | 66.9 kB | 0 |
Replicate Flux MCP v0.1.1
🚀 Major New Features
Batch Image Generation
Generate multiple different images from a set of prompts in a single API call with the new generate_multiple_images
tool.
:::json
{
"prompts": [
"A serene mountain lake at sunset",
"A bustling city street at night",
"A peaceful garden in spring"
],
"aspect_ratio": "16:9"
}
Image Variants Generation
Explore different interpretations of the same concept by generating multiple variants with the new generate_image_variants
tool.
:::json
{
"prompt": "A futuristic city skyline at night",
"num_variants": 4,
"seed": 42
}
Advanced Prompt Engineering
Fine-tune image variations with specialized prompt modifications for precise creative control:
:::json
{
"prompt": "A majestic castle",
"prompt_variations": [
"in watercolor style",
"as an oil painting",
"with gothic architecture",
"in a misty forest"
],
"variation_mode": "append"
}
✨ Key Improvements
- Parallel Processing: All batch operations run concurrently for optimal performance
- Flexible Variation Modes: Choose between appending variations to the base prompt or using them as standalone prompts
- Deterministic Generation: Optional seed parameters ensure reproducible results
- Comprehensive Output: Clear labeling of each image with its corresponding prompt or variant details
📝 Documentation Updates
- Added detailed parameter references for all new tools
- Included practical examples for various use cases
- Enhanced README with visual examples showing the new capabilities
- Improved Getting Started guide with examples of the new features
🧪 Technical Details
- Added new Zod schemas for type validation of new parameters
- Implemented intelligent prompt handling for variations
- Added support for up to 10 simultaneous operations in batch mode
- Optimized memory usage when processing multiple images
🔜 Coming Next
- Support for additional Replicate models
- Further customization options for batch processing