* introduce GGMLRunnerContext
* add Flash Attention enable control through GGMLRunnerContext
* add conv2d_direct enable control through GGMLRunnerContext
* feat: add code and doc for running SSD1B models
* Added some more lines to support SD1.x with TINY U-Nets too.
* support SSD-1B.safetensors
* fix sdv1.5 diffusers format loader
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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
* 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
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Co-authored-by: leejet <leejet714@gmail.com>
* Instruct-p2p support
* support 2 conditionings cfg
* Do not re-encode the exact same image twice
* fixes for 2-cfg
* Fix pix2pix latent inputs + improve inpainting a bit + fix naming
* prepare for other pix2pix-like models
* Support sdxl ip2p
* fix reference image embeddings
* Support 2-cond cfg properly in cli
* fix typo in help
* Support masks for ip2p models
* unify code style
* delete unused code
* use edit mode
* add img_cond
* format code
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Co-authored-by: leejet <leejet714@gmail.com>
* repair flash attention in _ext
this does not fix the currently broken fa behind the define, which is only used by VAE
Co-authored-by: FSSRepo <FSSRepo@users.noreply.github.com>
* make flash attention in the diffusion model a runtime flag
no support for sd3 or video
* remove old flash attention option and switch vae over to attn_ext
* update docs
* format code
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Co-authored-by: FSSRepo <FSSRepo@users.noreply.github.com>
Co-authored-by: leejet <leejet714@gmail.com>
* add flux support
* avoid build failures in non-CUDA environments
* fix schnell support
* add k quants support
* add support for applying lora to quantized tensors
* add inplace conversion support for f8_e4m3 (#359)
in the same way it is done for bf16
like how bf16 converts losslessly to fp32,
f8_e4m3 converts losslessly to fp16
* add xlabs flux comfy converted lora support
* update docs
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Co-authored-by: Erik Scholz <Green-Sky@users.noreply.github.com>
* add controlnet to pipeline
* add cli params
* control strength cli param
* cli param keep controlnet in cpu
* add Textual Inversion
* add canny preprocessor
* refactor: change ggml_type_sizef to ggml_row_size
* process hint once time
* ignore the embedding name case
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Co-authored-by: leejet <leejet714@gmail.com>
