* 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
---------
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
---------
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
---------
Co-authored-by: leejet <leejet714@gmail.com>
* Write generation parameter exif data into output pngs.
This adds prompt, negative prompt (if nonempty) and other generation
parameters to the output file as a tEXt PNG block, in the same format as
AUTOMATIC1111 webui does.
In order to keep everything free of external library dependencies, I
have somewhat dirtily hacked this into the stb_image_write
implementation.
* Mention png text data in README.md, include "karras" in sampler text
* add Steps/Model/RNG to parameter string
---------
Co-authored-by: leejet <leejet714@gmail.com>
* 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
---------
Co-authored-by: Urs Ganse <urs@nerd2nerd.org>
Co-authored-by: leejet <leejet714@gmail.com>
