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https://github.com/leejet/stable-diffusion.cpp.git
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feat: support building with upstream ggml (#1999)
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@@ -16,6 +16,38 @@ git submodule init
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git submodule update
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```
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## Selecting a GGML source tree
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By default, sd.cpp builds the patched GGML submodule in `ggml/`. To build with
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an upstream GGML checkout instead, enable `SD_USE_UPSTREAM_GGML` and set
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`SD_GGML_SOURCE_DIR`:
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```shell
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cmake -S . -B build-upstream -DSD_USE_UPSTREAM_GGML=ON -DSD_GGML_SOURCE_DIR=../ggml-upstream
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cmake --build build-upstream --config Release
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```
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The selected source tree supplies both the library and its private headers.
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Backend options such as `-DSD_CUDA=ON` apply to the selected tree as usual.
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`SD_USE_UPSTREAM_GGML` defaults to `OFF`, which enables the patched GGML
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extensions. Set it to `ON` when using upstream GGML; it selects the compatibility
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mode and does not download or replace the GGML source tree. Upstream mode
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disables FP8 and INT8 tensorwise/convrot and rejects their model files with an
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explicit error. FP8 weight type requests, tensor type rules and conversion
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outputs are also rejected; no automatic conversion is performed.
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Upstream GGML may lack some operators and performance optimizations provided by
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the patched version. A warning is emitted during CMake configuration and when
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creating an inference context. Ordinary floating-point and shared GGML
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quantization types remain available, subject to backend operator support.
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`SD_USE_SYSTEM_GGML=ON` instead links an installed GGML CMake package, located
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with `ggml_DIR` or `CMAKE_PREFIX_PATH`. In that mode, `SD_GGML_SOURCE_DIR` must
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point to the matching source tree for private headers. The installed library
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must use the same ABI settings as sd.cpp, including `GGML_MAX_NAME`.
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Set `SD_USE_UPSTREAM_GGML=ON` as well if the installed package is upstream GGML.
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## WebP and WebM Support in Examples
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The example applications (`examples/cli` and `examples/server`) use `libwebp` to support WebP image I/O, and `examples/cli` can also use `libwebm` for `.webm` video output. Both are enabled by default. WebM output currently reuses `libwebp` to encode each frame as VP8 before muxing with `libwebm`.
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@@ -2,6 +2,9 @@
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sd.cpp can load and execute ComfyUI `int8_tensorwise` safetensors with `convrot` metadata directly. The stored INT8 weights are not converted to another weight type at load time.
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This requires the INT8 tensorwise/convrot extensions in the patched GGML.
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Builds with `SD_USE_UPSTREAM_GGML=ON` reject these files during loading.
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## Checkpoint format
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Each quantized linear module contains the following tensors:
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