Claude
59b26b6d5e
- Pin diffusers to >=0.28.0,<0.29.0 to avoid AttributeError on torch.xpu (diffusers 0.29+ requires PyTorch 2.4 but base image ships 2.1.2) - Pin transformers to <4.40.0 to match - README: add SAM offline download troubleshooting for DNS-blocked containers - SelectionActions panel: 'Selection ready' title + subtitle makes clear nothing has fired yet; AI actions show inline description (not just tooltip); section labels 'AI Actions' / 'Classic Tools'; scale hint updates live; Enter key submits AI edit prompt; _actionCard hover border for clickability https://claude.ai/code/session_01WVDg7amsy1TTtxvpku7bcM
34 lines
1.3 KiB
Plaintext
34 lines
1.3 KiB
Plaintext
# =============================================================================
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# GPU / Local Diffusion dependencies
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# Install alongside requirements.txt when running with AI_PROVIDER=local_gpu
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#
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# Usage:
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# pip install -r requirements.txt -r requirements.gpu.txt
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#
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# These are pre-installed in Dockerfile.gpu; optional in the standard image.
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# =============================================================================
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# HuggingFace Diffusers ecosystem
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# Pinned <0.29.0: diffusers 0.29.0 added torch.xpu (Intel GPU) which fails on
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# PyTorch 2.1.x with "AttributeError: module 'torch' has no attribute 'xpu'".
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# Upgrade the base image in Dockerfile.gpu to pytorch 2.4+ before lifting this pin.
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# (FLUX support requires diffusers>=0.29 + PyTorch>=2.4; SDXL/SD works fine here.)
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diffusers>=0.28.0,<0.29.0
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transformers>=4.36.0,<4.40.0
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accelerate>=0.27.0
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huggingface-hub>=0.23.0
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safetensors>=0.4.0
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# Required by SDXL pipelines
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invisible-watermark>=0.2.0
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omegaconf>=2.3.0
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# Required by FLUX (T5 text encoder tokenizer)
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sentencepiece>=0.2.0
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# xformers — reduces attention VRAM ~20-30%, often unlocks the next model tier
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# Must match your PyTorch+CUDA version; leave out if unsure.
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# Install post-container-start if needed:
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# pip install xformers --index-url https://download.pytorch.org/whl/cu121
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# xformers
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