refactor: update c api (#728)

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leejet authored and GitHub committed 2025-07-13 18:48:42 +08:00
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@@ -282,14 +282,14 @@ usage: ./bin/sd [arguments]
arguments:
-h, --help show this help message and exit
-M, --mode [MODEL] run mode (txt2img or img2img or convert, default: txt2img)
-M, --mode [MODE] run mode, one of: [img_gen, convert], default: img_gen
-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
-m, --model [MODEL] path to full model
--diffusion-model path to the standalone diffusion model
--clip_l path to the clip-l text encoder
--clip_g path to the clip-g text encoder
--t5xxl path to the the t5xxl text encoder
--t5xxl path to the t5xxl text encoder
--vae [VAE] path to vae
--taesd [TAESD_PATH] path to taesd. Using Tiny AutoEncoder for fast decoding (low quality)
--control-net [CONTROL_PATH] path to control net model
@@ -301,16 +301,18 @@ arguments:
--upscale-repeats Run the ESRGAN upscaler this many times (default 1)
--type [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
--tensor-type-rules [EXPRESSION] weight type per tensor pattern (example: "^vae\.=f16,model\.=q8_0")
--lora-model-dir [DIR] lora model directory
-i, --init-img [IMAGE] path to the input image, required by img2img
--mask [MASK] path to the mask image, required by img2img with mask
--control-image [IMAGE] path to image condition, control net
-r, --ref_image [PATH] reference image for Flux Kontext models (can be used multiple times)
-r, --ref-image [PATH] reference image for Flux Kontext models (can be used multiple times)
-o, --output OUTPUT path to write result image to (default: ./output.png)
-p, --prompt [PROMPT] the prompt to render
-n, --negative-prompt PROMPT the negative prompt (default: "")
--cfg-scale SCALE unconditional guidance scale: (default: 7.0)
--guidance SCALE guidance scale for img2img (default: 3.5)
--img-cfg-scale SCALE image guidance scale for inpaint or instruct-pix2pix models: (default: same as --cfg-scale)
--guidance SCALE distilled guidance scale for models with guidance input (default: 3.5)
--slg-scale SCALE 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
--eta SCALE eta in DDIM, only for DDIM and TCD: (default: 0)
@@ -319,7 +321,7 @@ arguments:
--skip-layer-end END SLG disabling point: (default: 0.2)
SLG will be enabled at step int([STEPS]*[START]) and disabled at int([STEPS]*[END])
--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)
--control-strength STRENGTH strength to apply Control Net (default: 0.9)
1.0 corresponds to full destruction of information in init image
-H, --height H image height, in pixel space (default: 512)
@@ -371,7 +373,7 @@ Using formats of different precisions will yield results of varying quality.
```
./bin/sd --mode img2img -m ../models/sd-v1-4.ckpt -p "cat with blue eyes" -i ./output.png -o ./img2img_output.png --strength 0.4
./bin/sd -m ../models/sd-v1-4.ckpt -p "cat with blue eyes" -i ./output.png -o ./img2img_output.png --strength 0.4
```
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