Releases: leejet/stable-diffusion.cpp
Releases · leejet/stable-diffusion.cpp
master-0d9b801
fix: fix multi loras prompt parse
master-536f3af
feat: add lcm sampler support This referenced an issue discussion of the stable-diffusion-webui at https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/13952, which may not be too perfect.
master-3bf1665
chore: clear the msvc compilation warning
master-ed37498
fix: set eps of ggml_norm(LayerNorm) to 1e-5
master-fbd18e1
fix: avoid stack overflow on MSVC
master-09cab2a
chore: set default BUILD_SHARED_LIBS to OFF
master-afec505
feat: write generation parameter exif data into output png (#57) * 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 <[email protected]>
master-3a25179
feat: add DPM2 and DPM++(2s) a samplers (#56) * Add DPM2 sampler. * Add DPM++ (2s) a sampler. * Update README.md with added samplers --------- Co-authored-by: leejet <[email protected]>
master-b6899e8
feat: add Euler, Heun and DPM++ (2M) samplers (#50) * 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 <[email protected]> Co-authored-by: leejet <[email protected]>
master-968fbf0
feat: add option to switch the sigma schedule (#51) 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.