* 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>
* add taesd implementation
* taesd gpu offloading
* show seed when generating image with -s -1
* less restrictive with larger images
* cuda: im2col speedup x2
* cuda: group norm speedup x90
* quantized models now works in cuda :)
* fix cal mem size
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Co-authored-by: leejet <leejet714@gmail.com>
* set ggml url to FSSRepo/ggml
* ggml-alloc integration
* offload all functions to gpu
* gguf format + native converter
* merge custom vae to a model
* full offload to gpu
* improve pretty progress
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Co-authored-by: leejet <leejet714@gmail.com>
Concretely, this allows switching to the "Karras" schedule from the
Karras et al 2022 paper, equivalent to the samplers marked as "Karras"
in the AUTOMATIC1111 WebUI. This choice is in principle orthogonal to
the sampler choice and can be given independently.
* Add Euler sampler
* Add Heun sampler
* Add DPM++ (2M) sampler
* Add modified DPM++ (2M) "v2" sampler.
This was proposed in a issue discussion of the stable diffusion webui,
at https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8457
and apparently works around overstepping of the DPM++ (2M) method with
small step counts.
The parameter is called dpmpp2mv2 here.
* match code style
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Co-authored-by: Urs Ganse <urs@nerd2nerd.org>
Co-authored-by: leejet <leejet714@gmail.com>
