DarthAffe/stable-diffusion.cpp
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docs: update docs and help message

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leejet 2025-09-07 02:26:44 +08:00
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README.md
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@ -7,7 +7,7 @@
Diffusion model(SD,Flux,Wan,...) inference in pure C/C++ Diffusion model(SD,Flux,Wan,...) inference in pure C/C++
***Note that this project is under active development. \ ***Note that this project is under active development. \
API and command-line parameters may change frequently.*** API and command-line option may change frequently.***
## Features ## Features
@ -290,9 +290,10 @@ usage: ./bin/sd [arguments]
arguments: arguments:
-h, --help show this help message and exit -h, --help show this help message and exit
-M, --mode [MODE] run mode, one of: [img_gen, convert], default: img_gen -M, --mode [MODE] run mode, one of: [img_gen, vid_gen, convert], default: img_gen
-t, --threads N number of threads to use during computation (default: -1) -t, --threads N number of threads to use during computation (default: -1)
If threads <= 0, then threads will be set to the number of CPU physical cores If threads <= 0, then threads will be set to the number of CPU physical cores
--offload-to-cpu place the weights in RAM to save VRAM, and automatically load them into VRAM when needed
-m, --model [MODEL] path to full model -m, --model [MODEL] path to full model
--diffusion-model path to the standalone diffusion model --diffusion-model path to the standalone diffusion model
--high-noise-diffusion-model path to the standalone high noise diffusion model --high-noise-diffusion-model path to the standalone high noise diffusion model
@ -346,7 +347,7 @@ arguments:
--high-noise-scheduler {discrete, karras, exponential, ays, gits} Denoiser sigma scheduler (default: discrete) --high-noise-scheduler {discrete, karras, exponential, ays, gits} Denoiser sigma scheduler (default: discrete)
--high-noise-sampling-method {euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd} --high-noise-sampling-method {euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd}
(high noise) sampling method (default: "euler_a") (high noise) sampling method (default: "euler_a")
--high-noise-steps STEPS (high noise) number of sample steps (default: 20) --high-noise-steps STEPS (high noise) number of sample steps (default: -1 = auto)
SLG will be enabled at step int([STEPS]*[START]) and disabled at int([STEPS]*[END]) SLG will be enabled at step int([STEPS]*[START]) and disabled at int([STEPS]*[END])
--strength STRENGTH strength for noising/unnoising (default: 0.75) --strength STRENGTH strength for noising/unnoising (default: 0.75)
--style-ratio STYLE-RATIO strength for keeping input identity (default: 20) --style-ratio STYLE-RATIO strength for keeping input identity (default: 20)
@ -377,6 +378,9 @@ arguments:
--chroma-t5-mask-pad PAD_SIZE t5 mask pad size of chroma --chroma-t5-mask-pad PAD_SIZE t5 mask pad size of chroma
--video-frames video frames (default: 1) --video-frames video frames (default: 1)
--fps fps (default: 24) --fps fps (default: 24)
--moe-boundary BOUNDARY timestep boundary for Wan2.2 MoE model. (default: 0.875)
only enabled if `--high-noise-steps` is set to -1
--flow-shift SHIFT shift value for Flow models like SD3.x or WAN (default: auto)
-v, --verbose print extra info -v, --verbose print extra info
``` ```

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docs/wan.md
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@ -43,8 +43,6 @@
## Examples ## Examples
Since GitHub does not support AVI files, the file I uploaded was converted from AVI to MP4.
### Wan2.1 T2V 1.3B ### Wan2.1 T2V 1.3B
``` ```

3
examples/cli/main.cpp
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@ -193,9 +193,10 @@ void print_usage(int argc, const char* argv[]) {
printf("\n"); printf("\n");
printf("arguments:\n"); printf("arguments:\n");
printf(" -h, --help show this help message and exit\n"); printf(" -h, --help show this help message and exit\n");
printf(" -M, --mode [MODE] run mode, one of: [img_gen, convert], default: img_gen\n"); printf(" -M, --mode [MODE] run mode, one of: [img_gen, vid_gen, convert], default: img_gen\n");
printf(" -t, --threads N number of threads to use during computation (default: -1)\n"); printf(" -t, --threads N number of threads to use during computation (default: -1)\n");
printf(" If threads <= 0, then threads will be set to the number of CPU physical cores\n"); printf(" If threads <= 0, then threads will be set to the number of CPU physical cores\n");
printf(" --offload-to-cpu place the weights in RAM to save VRAM, and automatically load them into VRAM when needed\n");
printf(" -m, --model [MODEL] path to full model\n"); printf(" -m, --model [MODEL] path to full model\n");
printf(" --diffusion-model path to the standalone diffusion model\n"); printf(" --diffusion-model path to the standalone diffusion model\n");
printf(" --high-noise-diffusion-model path to the standalone high noise diffusion model\n"); printf(" --high-noise-diffusion-model path to the standalone high noise diffusion model\n");