Ewald ALOEBOETOE
730ec6e07b
chore(deps): update sentence-transformers requirement from <4.0.0,>=2.2.0 to >=2.2.0,<6.0.0
36 lines
1.2 KiB
Plaintext
36 lines
1.2 KiB
Plaintext
# Optional AI / vector feature dependencies for ComfyUI-Majoor-AssetsManager
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# Install with:
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# pip install -r requirements.txt -r requirements-vector.txt
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-r requirements.txt
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# --- CLIP / Semantic Search (optional, enable with MJR_ENABLE_VECTOR_SEARCH=1) ---
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# sentence-transformers wraps HuggingFace models including CLIP ViT-L/14
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sentence-transformers>=2.2.0,<6.0.0
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# Explicit HF stack for SigLIP2 / X-CLIP / Florence-2 runtime compatibility
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transformers>=4.44.0,<6.0.0
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huggingface-hub>=0.24.0,<2.0.0
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safetensors>=0.4.0,<1.0.0
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# Protobuf is required by SigLIP2/SiglipConfig for model config deserialization
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protobuf>=3.20.0,<8.0.0
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# timm is required by Florence-2 model implementation
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timm>=0.9.0,<2.0.0
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# einops is required by Florence-2 vision encoder
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einops>=0.7.0,<1.0.0
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# sentencepiece is required by the SigLIP2 tokenizer (SiglipTokenizer)
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sentencepiece>=0.1.99,<1.0.0
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# OpenCV headless for video frame extraction fallback when ffprobe/ffmpeg are unavailable
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opencv-python-headless>=4.8.0,<5.0.0
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# Efficient approximate nearest-neighbour search (CPU-only build)
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faiss-cpu>=1.7.0,<2.0.0
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# scikit-learn is used for K-Means clustering in the auto-collections utility
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scikit-learn>=1.3.0,<2.0.0
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