usage: ./bin/sd  [options]

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
  --qwen2vl <string>                       path to the qwen2vl text encoder
  --qwen2vl_vision <string>                path to the qwen2vl vit
  --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)
  --control-net <string>                   path to control net model
  --embd-dir <string>                      embeddings directory
  --lora-model-dir <string>                lora model directory
  -i, --init-img <string>                  path to the init image
  --end-img <string>                       path to the end image, required by flf2v
  --tensor-type-rules <string>             weight type per tensor pattern (example: "^vae\.=f16,model\.=q8_0")
  --photo-maker <string>                   path to PHOTOMAKER model
  --pm-id-images-dir <string>              path to PHOTOMAKER input id images dir
  --pm-id-embed-path <string>              path to PHOTOMAKER v2 id embed
  --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.
  -o, --output <string>                    path to write result image to (default: ./output.png)
  -p, --prompt <string>                    the prompt to render
  -n, --negative-prompt <string>           the negative prompt (default: "")
  --preview-path <string>                  path to write preview image to (default: ./preview.png)
  --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
  --upscale-repeats <int>                  Run the ESRGAN upscaler this many times (default: 1)
  -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
  --chroma-t5-mask-pad <int>               t5 mask pad size of chroma
  --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
  --preview-interval <int>                 interval in denoising steps between consecutive updates of the image preview file (default is 1, meaning updating at
                                           every step)
  --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>                            eta in DDIM, only for DDIM and TCD (default: 0)
  --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) eta in DDIM, only for DDIM and TCD (default: 0)
  --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
  --flow-shift <float>                     shift value for Flow models like SD3.x or WAN (default: auto)
  --vace-strength <float>                  wan vace strength
  --vae-tile-overlap <float>               tile overlap for vae tiling, in fraction of tile size (default: 0.5)
  --vae-tiling                             process vae in tiles to reduce memory usage
  --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
  --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)
  --diffusion-fa                           use flash attention in the diffusion model
  --diffusion-conv-direct                  use ggml_conv2d_direct in the diffusion model
  --vae-conv-direct                        use ggml_conv2d_direct in the vae model
  --canny                                  apply canny preprocessor (edge detection)
  -v, --verbose                            print extra info
  --color                                  colors the logging tags according to level
  --chroma-disable-dit-mask                disable dit mask for chroma
  --chroma-enable-t5-mask                  enable t5 mask for chroma
  --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
  --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
  -M, --mode                               run mode, one of [img_gen, vid_gen, upscale, convert], default: img_gen
  --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)
  -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] (default: euler for Flux/SD3/Wan, euler_a otherwise)
  --prediction                             prediction type override, one of [eps, v, edm_v, sd3_flow, flux_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.
  --scheduler                              denoiser sigma scheduler, one of [discrete, karras, exponential, ays, gits, smoothstep, sgm_uniform, simple], default:
                                           discrete
  --skip-layers                            layers to skip for SLG steps (default: [7,8,9])
  --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] default: euler for Flux/SD3/Wan, euler_a otherwise
  --high-noise-scheduler                   (high noise) denoiser sigma scheduler, one of [discrete, karras, exponential, ays, gits, smoothstep, sgm_uniform,
                                           simple], default: discrete
  --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)
  -h, --help                               show this help message and exit
  --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)
  --preview                                preview method. must be one of the following [none, proj, tae, vae] (default is none)