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https://github.com/leejet/stable-diffusion.cpp.git
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feat: add ltx2.3 support (#1463)
* add GemmaTokenizer * add basic ltx2.3 support * change vocab file encoding * fix ci * fix ubuntu build * add temporal tiling support * add ltx audio support * update ggml submodule url * fix generate_video * add i2v support * minify bundled Gemma tokenizer vocab sources * pass video fps into temporal rope embeddings * fix av_ca_timestep_scale_multiplier * add LTX2Scheduler support * update docs * fix ci
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@@ -103,8 +103,9 @@ Generation Options:
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--hires-upscaler <string> highres fix upscaler, Lanczos, Nearest, Latent, Latent (nearest), Latent
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(nearest-exact), Latent (antialiased), Latent (bicubic), Latent (bicubic
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antialiased), or a model name under --hires-upscalers-dir (default: Latent)
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--extra-sample-args <string> extra sampler args, key=value list. Currently lcm supports noise_clip_std,
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noise_scale_start, noise_scale_end
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--extra-sample-args <string> extra sampler/scheduler args, key=value list. lcm supports noise_clip_std,
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noise_scale_start, noise_scale_end; ltx2 supports max_shift, base_shift,
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stretch, terminal
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-H, --height <int> image height, in pixel space (default: 512)
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-W, --width <int> image width, in pixel space (default: 512)
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--steps <int> number of sample steps (default: 20)
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@@ -160,6 +161,7 @@ Generation Options:
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--disable-auto-resize-ref-image disable auto resize of ref images
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--disable-image-metadata do not embed generation metadata on image files
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--vae-tiling process vae in tiles to reduce memory usage
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--temporal-tiling enable temporal tiling for LTX video VAE decode
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--hires enable highres fix
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-s, --seed RNG seed (default: 42, use random seed for < 0)
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--sampling-method sampling method, one of [euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m,
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@@ -169,8 +171,8 @@ Generation Options:
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dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd, res_multistep,
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res_2s, er_sde, euler_cfg_pp, euler_a_cfg_pp] default: euler for Flux/SD3/Wan, euler_a otherwise
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--scheduler denoiser sigma scheduler, one of [discrete, karras, exponential, ays, gits,
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smoothstep, sgm_uniform, simple, kl_optimal, lcm, bong_tangent], default:
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discrete
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smoothstep, sgm_uniform, simple, kl_optimal, lcm, bong_tangent, ltx2], default:
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model-specific
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--sigmas custom sigma values for the sampler, comma-separated (e.g.,
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"14.61,7.8,3.5,0.0").
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--skip-layers layers to skip for SLG steps (default: [7,8,9])
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