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https://github.com/leejet/stable-diffusion.cpp
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16 KiB
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Run
usage: ./bin/sd-cli [options]
CLI Options:
-o, --output <string> path to write result image to. you can use printf-style %d format specifiers for image
sequences (default: ./output.png) (eg. output_%03d.png). Single-file video outputs
support .avi, .webm, and animated .webp
--image <string> path to the image to inspect (for metadata mode)
--metadata-format <string> metadata output format, one of [text, json] (default: text)
--preview-path <string> path to write preview image to (default: ./preview.png). Multi-frame previews support
.avi, .webm, and animated .webp
--preview-interval <int> interval in denoising steps between consecutive updates of the image preview file
(default is 1, meaning updating at every step)
--output-begin-idx <int> starting index for output image sequence, must be non-negative (default 0 if specified
%d in output path, 1 otherwise)
--canny apply canny preprocessor (edge detection)
--convert-name convert tensor name (for convert mode)
-v, --verbose print extra info
--color colors the logging tags according to level
--taesd-preview-only prevents usage of taesd for decoding the final image. (for use with --preview tae)
--preview-noisy enables previewing noisy inputs of the models rather than the denoised outputs
--metadata-raw include raw hex previews for unparsed metadata payloads
--metadata-brief truncate long metadata text values in text output
--metadata-all include structural/container entries such as IHDR, IDAT, and non-metadata JPEG segments
-M, --mode run mode, one of [img_gen, vid_gen, upscale, convert, metadata], default: img_gen
--preview preview method. must be one of the following [none, proj, tae, vae] (default is none)
-h, --help show this help message and exit
Context Options:
-m, --model <string> path to full model
--clip_l <string> path to the clip-l text encoder
--clip_g <string> path to the clip-g text encoder
--clip_vision <string> path to the clip-vision encoder
--t5xxl <string> path to the t5xxl text encoder
--llm <string> path to the llm text encoder. For example: (qwenvl2.5 for qwen-image,
mistral-small3.2 for flux2, ...)
--llm_vision <string> path to the llm vit
--qwen2vl <string> alias of --llm. Deprecated.
--qwen2vl_vision <string> alias of --llm_vision. Deprecated.
--diffusion-model <string> path to the standalone diffusion model
--high-noise-diffusion-model <string> path to the standalone high noise diffusion model
--vae <string> path to standalone vae model
--taesd <string> path to taesd. Using Tiny AutoEncoder for fast decoding (low quality)
--tae <string> alias of --taesd
--control-net <string> path to control net model
--embd-dir <string> embeddings directory
--lora-model-dir <string> lora model directory
--hires-upscalers-dir <string> highres fix upscaler model directory
--tensor-type-rules <string> weight type per tensor pattern (example: "^vae\.=f16,model\.=q8_0")
--photo-maker <string> path to PHOTOMAKER model
--upscale-model <string> path to esrgan model.
-t, --threads <int> number of threads to use during computation (default: -1). If threads <= 0,
then threads will be set to the number of CPU physical cores
--chroma-t5-mask-pad <int> t5 mask pad size of chroma
--force-sdxl-vae-conv-scale force use of conv scale on sdxl vae
--offload-to-cpu place the weights in RAM to save VRAM, and automatically load them into VRAM
when needed
--mmap whether to memory-map model
--control-net-cpu keep controlnet in cpu (for low vram)
--clip-on-cpu keep clip in cpu (for low vram)
--vae-on-cpu keep vae in cpu (for low vram)
--fa use flash attention
--diffusion-fa use flash attention in the diffusion model only
--diffusion-conv-direct use ggml_conv2d_direct in the diffusion model
--vae-conv-direct use ggml_conv2d_direct in the vae model
--circular enable circular padding for convolutions
--circularx enable circular RoPE wrapping on x-axis (width) only
--circulary enable circular RoPE wrapping on y-axis (height) only
--chroma-disable-dit-mask disable dit mask for chroma
--qwen-image-zero-cond-t enable zero_cond_t for qwen image
--chroma-enable-t5-mask enable t5 mask for chroma
--type weight type (examples: f32, f16, q4_0, q4_1, q5_0, q5_1, q8_0, q2_K, q3_K,
q4_K). If not specified, the default is the type of the weight file
--rng RNG, one of [std_default, cuda, cpu], default: cuda(sd-webui), cpu(comfyui)
--sampler-rng sampler RNG, one of [std_default, cuda, cpu]. If not specified, use --rng
--prediction prediction type override, one of [eps, v, edm_v, sd3_flow, flux_flow,
flux2_flow]
--lora-apply-mode the way to apply LoRA, one of [auto, immediately, at_runtime], default is
auto. In auto mode, if the model weights contain any quantized parameters,
the at_runtime mode will be used; otherwise, immediately will be used.The
immediately mode may have precision and compatibility issues with quantized
parameters, but it usually offers faster inference speed and, in some cases,
lower memory usage. The at_runtime mode, on the other hand, is exactly the
opposite.
Generation Options:
-p, --prompt <string> the prompt to render
-n, --negative-prompt <string> the negative prompt (default: "")
-i, --init-img <string> path to the init image
--end-img <string> path to the end image, required by flf2v
--mask <string> path to the mask image
--control-image <string> path to control image, control net
--control-video <string> path to control video frames, It must be a directory path. The video frames
inside should be stored as images in lexicographical (character) order. For
example, if the control video path is `frames`, the directory contain images
such as 00.png, 01.png, ... etc.
--pm-id-images-dir <string> path to PHOTOMAKER input id images dir
--pm-id-embed-path <string> path to PHOTOMAKER v2 id embed
--hires-upscaler <string> highres fix upscaler, Lanczos, Nearest, Latent, Latent (nearest), Latent
(nearest-exact), Latent (antialiased), Latent (bicubic), Latent (bicubic
antialiased), or a model name under --hires-upscalers-dir (default: Latent)
-H, --height <int> image height, in pixel space (default: 512)
-W, --width <int> image width, in pixel space (default: 512)
--steps <int> number of sample steps (default: 20)
--high-noise-steps <int> (high noise) number of sample steps (default: -1 = auto)
--clip-skip <int> ignore last layers of CLIP network; 1 ignores none, 2 ignores one layer
(default: -1). <= 0 represents unspecified, will be 1 for SD1.x, 2 for SD2.x
-b, --batch-count <int> batch count
--video-frames <int> video frames (default: 1)
--fps <int> fps (default: 24)
--timestep-shift <int> shift timestep for NitroFusion models (default: 0). recommended N for
NitroSD-Realism around 250 and 500 for NitroSD-Vibrant
--upscale-repeats <int> Run the ESRGAN upscaler this many times (default: 1)
--upscale-tile-size <int> tile size for ESRGAN upscaling (default: 128)
--hires-width <int> highres fix target width, 0 to use --hires-scale (default: 0)
--hires-height <int> highres fix target height, 0 to use --hires-scale (default: 0)
--hires-steps <int> highres fix second pass sample steps, 0 to reuse --steps (default: 0)
--hires-upscale-tile-size <int> highres fix upscaler tile size, reserved for model-backed upscalers (default:
128)
--cfg-scale <float> unconditional guidance scale: (default: 7.0)
--img-cfg-scale <float> image guidance scale for inpaint or instruct-pix2pix models: (default: same
as --cfg-scale)
--guidance <float> distilled guidance scale for models with guidance input (default: 3.5)
--slg-scale <float> skip layer guidance (SLG) scale, only for DiT models: (default: 0). 0 means
disabled, a value of 2.5 is nice for sd3.5 medium
--skip-layer-start <float> SLG enabling point (default: 0.01)
--skip-layer-end <float> SLG disabling point (default: 0.2)
--eta <float> noise multiplier (default: 0 for ddim_trailing, tcd, res_multistep and
res_2s; 1 for euler_a, er_sde and dpm++2s_a)
--flow-shift <float> shift value for Flow models like SD3.x or WAN (default: auto)
--high-noise-cfg-scale <float> (high noise) unconditional guidance scale: (default: 7.0)
--high-noise-img-cfg-scale <float> (high noise) image guidance scale for inpaint or instruct-pix2pix models
(default: same as --cfg-scale)
--high-noise-guidance <float> (high noise) distilled guidance scale for models with guidance input
(default: 3.5)
--high-noise-slg-scale <float> (high noise) skip layer guidance (SLG) scale, only for DiT models: (default:
0)
--high-noise-skip-layer-start <float> (high noise) SLG enabling point (default: 0.01)
--high-noise-skip-layer-end <float> (high noise) SLG disabling point (default: 0.2)
--high-noise-eta <float> (high noise) noise multiplier (default: 0 for ddim_trailing, tcd,
res_multistep and res_2s; 1 for euler_a, er_sde and dpm++2s_a)
--strength <float> strength for noising/unnoising (default: 0.75)
--pm-style-strength <float>
--control-strength <float> strength to apply Control Net (default: 0.9). 1.0 corresponds to full
destruction of information in init image
--moe-boundary <float> timestep boundary for Wan2.2 MoE model. (default: 0.875). Only enabled if
`--high-noise-steps` is set to -1
--vace-strength <float> wan vace strength
--vae-tile-overlap <float> tile overlap for vae tiling, in fraction of tile size (default: 0.5)
--hires-scale <float> highres fix scale when target size is not set (default: 2.0)
--hires-denoising-strength <float> highres fix second pass denoising strength (default: 0.7)
--increase-ref-index automatically increase the indices of references images based on the order
they are listed (starting with 1).
--disable-auto-resize-ref-image disable auto resize of ref images
--disable-image-metadata do not embed generation metadata on image files
--vae-tiling process vae in tiles to reduce memory usage
--hires enable highres fix
-s, --seed RNG seed (default: 42, use random seed for < 0)
--sampling-method sampling method, one of [euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m,
dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd, res_multistep, res_2s,
er_sde] (default: euler for Flux/SD3/Wan, euler_a otherwise)
--high-noise-sampling-method (high noise) sampling method, one of [euler, euler_a, heun, dpm2, dpm++2s_a,
dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd, res_multistep,
res_2s, er_sde] default: euler for Flux/SD3/Wan, euler_a otherwise
--scheduler denoiser sigma scheduler, one of [discrete, karras, exponential, ays, gits,
smoothstep, sgm_uniform, simple, kl_optimal, lcm, bong_tangent], default:
discrete
--sigmas custom sigma values for the sampler, comma-separated (e.g.,
"14.61,7.8,3.5,0.0").
--skip-layers layers to skip for SLG steps (default: [7,8,9])
--high-noise-skip-layers (high noise) layers to skip for SLG steps (default: [7,8,9])
-r, --ref-image reference image for Flux Kontext models (can be used multiple times)
--cache-mode caching method: 'easycache' (DiT), 'ucache' (UNET),
'dbcache'/'taylorseer'/'cache-dit' (DiT block-level), 'spectrum' (UNET/DiT
Chebyshev+Taylor forecasting)
--cache-option named cache params (key=value format, comma-separated). easycache/ucache:
threshold=,start=,end=,decay=,relative=,reset=; dbcache/taylorseer/cache-dit:
Fn=,Bn=,threshold=,warmup=; spectrum: w=,m=,lam=,window=,flex=,warmup=,stop=.
Examples: "threshold=0.25" or "threshold=1.5,reset=0"
--scm-mask SCM steps mask for cache-dit: comma-separated 0/1 (e.g.,
"1,1,1,0,0,1,0,0,1,0") - 1=compute, 0=can cache
--scm-policy SCM policy: 'dynamic' (default) or 'static'
--vae-tile-size tile size for vae tiling, format [X]x[Y] (default: 32x32)
--vae-relative-tile-size relative tile size for vae tiling, format [X]x[Y], in fraction of image size
if < 1, in number of tiles per dim if >=1 (overrides --vae-tile-size)
Metadata mode inspects PNG/JPEG container metadata without loading any model:
./bin/sd-cli -M metadata --image ./output.png
./bin/sd-cli -M metadata --image ./output.jpg --metadata-format json
./bin/sd-cli -M metadata --image ./output.png --metadata-raw
./bin/sd-cli -M metadata --image ./output.png --metadata-all