DarthAffe/stable-diffusion.cpp
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chore: format code

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leejet committed 2026-10-24 01:23:42 +08:00
1 parent 40b1788476
commit e0ed724e28
69 files changed
+711 -441
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src/model/diffusion/lingbot_video.hpp
+12 -12
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@@ -442,10 +442,10 @@ namespace LingBotVideo {
: hidden_size(config.hidden_size) {
blocks["norm1"] = std::make_shared<RMSNorm>(config.hidden_size, config.norm_eps);
blocks["attn"] = std::make_shared<LingBotVideoAttention>(config.hidden_size,
config.num_attention_heads,
config.qkv_bias,
config.out_bias,
config.norm_eps);
config.num_attention_heads,
config.qkv_bias,
config.out_bias,
config.norm_eps);
blocks["norm_post_attn"] = std::make_shared<RMSNorm>(config.hidden_size, config.norm_eps);
blocks["norm2"] = std::make_shared<RMSNorm>(config.hidden_size, config.norm_eps);
if (sparse) {
@@ -509,14 +509,14 @@ namespace LingBotVideo {
int64_t patch_dim = config.patch_t * config.patch_h * config.patch_w * config.in_channels;
blocks["patch_embedder"] = std::make_shared<Linear>(patch_dim, config.hidden_size, config.patch_embed_bias);
blocks["time_embedder"] = std::make_shared<Qwen::TimestepEmbedding>(config.freq_dim,
config.hidden_size,
config.hidden_size,
0,
config.timestep_mlp_bias);
config.hidden_size,
config.hidden_size,
0,
config.timestep_mlp_bias);
blocks["time_modulation.1"] = std::make_shared<Linear>(config.hidden_size, 6 * config.hidden_size, true);
blocks["text_embedder"] = std::make_shared<LingBotVideoTextEmbedder>(config.text_dim,
config.hidden_size,
config.norm_eps);
config.hidden_size,
config.norm_eps);
for (int i = 0; i < config.depth; i++) {
bool sparse = config.sparse_layers.find(i) != config.sparse_layers.end();
blocks["blocks." + std::to_string(i)] = std::make_shared<LingBotVideoBlock>(config, sparse);
@@ -524,8 +524,8 @@ namespace LingBotVideo {
blocks["norm_out"] = std::make_shared<LayerNorm>(config.hidden_size, config.norm_eps, false);
blocks["norm_out_modulation.1"] = std::make_shared<Linear>(config.hidden_size, 2 * config.hidden_size, true);
blocks["proj_out"] = std::make_shared<Linear>(config.hidden_size,
config.patch_t * config.patch_h * config.patch_w * config.out_channels,
true);
config.patch_t * config.patch_h * config.patch_w * config.out_channels,
true);
}
ggml_tensor* forward(GGMLRunnerContext* ctx,