merge branch 'master' into ltx2.3

This commit is contained in:
leejet committed 2026-05-16 16:58:17 +08:00
commit 22d9a8374b
28 files changed
+2352 -564

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+5 -3
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@@ -157,7 +157,7 @@ Context Options:
then threads will be set to the number of CPU physical cores
--chroma-t5-mask-pad <int> t5 mask pad size of chroma
--max-vram <float> maximum VRAM budget in GiB for graph-cut segmented execution. 0 disables
graph splitting
graph splitting; -1 auto-detects free VRAM minus 1 GiB
--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
@@ -205,6 +205,8 @@ Default Generation Options:
--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)
--extra-sample-args <string> extra sampler args, key=value list. Currently lcm supports noise_clip_std,
noise_scale_start, noise_scale_end
-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)
@@ -264,10 +266,10 @@ Default Generation Options:
-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)
er_sde, euler_cfg_pp, euler_a_cfg_pp] (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
res_2s, er_sde, euler_cfg_pp, euler_a_cfg_pp] 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
+1 -1
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@@ -145,7 +145,7 @@ int main(int argc, const char** argv) {
register_sdapi_endpoints(svr, runtime);
register_sdcpp_api_endpoints(svr, runtime);
LOG_INFO("listening on: %s:%d\n", svr_params.listen_ip.c_str(), svr_params.listen_port);
LOG_INFO("listening on: http://%s:%d\n", svr_params.listen_ip.c_str(), svr_params.listen_port);
svr.listen(svr_params.listen_ip, svr_params.listen_port);
{
+4
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@@ -67,6 +67,10 @@ static enum sample_method_t get_sdapi_sample_method(std::string name) {
{"k_res_multistep", RES_MULTISTEP_SAMPLE_METHOD},
{"res 2s", RES_2S_SAMPLE_METHOD},
{"k_res_2s", RES_2S_SAMPLE_METHOD},
{"euler_cfg_pp", EULER_CFG_PP_SAMPLE_METHOD},
{"k_euler_cfg_pp", EULER_CFG_PP_SAMPLE_METHOD},
{"euler_a_cfg_pp", EULER_CFG_PP_SAMPLE_METHOD},
{"k_euler_a_cfg_pp", EULER_CFG_PP_SAMPLE_METHOD},
};
auto it = hardcoded.find(name);
return it != hardcoded.end() ? it->second : SAMPLE_METHOD_COUNT;