* fix: avoid segfault for pix2pix models with no reference images
* fix: default to empty reference on pix2pix models to avoid segfault
* use resize instead of reserve
* format code
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Co-authored-by: leejet <leejet714@gmail.com>
* add wan vace t2v support
* add --vace-strength option
* add vace i2v support
* fix the processing of vace_context
* add vace v2v support
* update docs
This seems to be a leftover from the initial SDXL support: it's
not enough to avoid NaN issues, and it's not not needed for the
fixed sdxl-vae-fp16-fix .
* kontext: support ref images indices
* lora: support x_embedder
* update help message
* Support for negative indices
* support for OmniControl (offsets at index 0)
* c++11 compat
* add --increase-ref-index option
* simplify the logic and fix some issues
* update README.md
* remove unused variable
---------
Co-authored-by: leejet <leejet714@gmail.com>
* Wan MoE: Automatic expert routing based on timestep boundary
* unify code style and fix some issues
---------
Co-authored-by: leejet <leejet714@gmail.com>
* add wan vae suppport
* add wan model support
* add umt5 support
* add wan2.1 t2i support
* make flash attn work with wan
* make wan a little faster
* add wan2.1 t2v support
* add wan gguf support
* add offload params to cpu support
* add wan2.1 i2v support
* crop image before resize
* set default fps to 16
* add diff lora support
* fix wan2.1 i2v
* introduce sd_sample_params_t
* add wan2.2 t2v support
* add wan2.2 14B i2v support
* add wan2.2 ti2v support
* add high noise lora support
* sync: update ggml submodule url
* avoid build failure on linux
* avoid build failure
* update ggml
* update ggml
* fix sd_version_is_wan
* update ggml, fix cpu im2col_3d
* fix ggml_nn_attention_ext mask
* add cache support to ggml runner
* fix the issue of illegal memory access
* unify image loading processing
* add wan2.1/2.2 FLF2V support
* fix end_image mask
* update to latest ggml
* add GGUFReader
* update docs
Some terminals have slow display latency, so frequent output
during model loading can actually slow down the process.
Also, since tensor loading times can vary a lot, the progress
display now shows the average across past iterations instead
of just the last one.
* Conv2DDirect for VAE stage
* Enable only for Vulkan, reduced duplicated code
* Cmake option to use conv2d direct
* conv2d direct always on for opencl
* conv direct as a flag
* fix merge typo
* Align conv2d behavior to flash attention's
* fix readme
* add conv2d direct for controlnet
* add conv2d direct for esrgan
* clean code, use enable_conv2d_direct/get_all_blocks
* format code
---------
Co-authored-by: leejet <leejet714@gmail.com>
An external ggml will most likely have been built with the default
GGML_MAX_NAME value (64), which would be inconsistent with the value
set by our build (128). That would be an ODR violation, and it could
easily cause memory corruption issues due to the different
sizeof(struct ggml_tensor) values.
For now, when linking against an external ggml, we demand it has been
patched with a bigger GGML_MAX_NAME, since we can't check against a
value defined only at build time.
