DarthAffe/stable-diffusion.cpp
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feat: add IP-Adapter support for SD 1.5 and SDXL (#1803)

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fszontagh authored and GitHub committed 2026-07-24 21:19:44 +08:00
1 parent 5114672c48
commit 8d377073e3
13 files changed
+366 -41
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src/model/common/block.hpp
+29 -4
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@@ -310,17 +310,33 @@ protected:
int64_t context_dim;
int64_t n_head;
int64_t d_head;
bool xtra_dim = false;
bool xtra_dim = false;
bool enable_ip = false;
bool has_ip = false;
void init_params(ggml_context* ctx, const String2TensorStorage& tensor_storage_map = {}, const std::string prefix = "") override {
GGMLBlock::init_params(ctx, tensor_storage_map, prefix);
if (enable_ip &&
tensor_storage_map.find(prefix + "to_k_ip.weight") != tensor_storage_map.end()) {
has_ip = true;
int64_t inner_dim = d_head * n_head;
int64_t ip_dim = tensor_storage_map.at(prefix + "to_k_ip.weight").ne[0];
blocks["to_k_ip"] = std::shared_ptr<GGMLBlock>(new Linear(ip_dim, inner_dim, false));
blocks["to_v_ip"] = std::shared_ptr<GGMLBlock>(new Linear(ip_dim, inner_dim, false));
}
}
public:
CrossAttention(int64_t query_dim,
int64_t context_dim,
int64_t n_head,
int64_t d_head)
int64_t d_head,
bool enable_ip = false)
: n_head(n_head),
d_head(d_head),
query_dim(query_dim),
context_dim(context_dim) {
context_dim(context_dim),
enable_ip(enable_ip) {
int64_t inner_dim = d_head * n_head;
if (context_dim == 320 && d_head == 320) {
// LOG_DEBUG("CrossAttention: temp set dim to 1024 for sdxs_09");
@@ -363,6 +379,15 @@ public:
}
x = ggml_ext_attention_ext(ctx->ggml_ctx, ctx->backend, q, k, v, n_head, nullptr, false, ctx->flash_attn_enabled); // [N, n_token, inner_dim]
if (has_ip && ctx->ip_context != nullptr && ctx->ip_scale != 0.0f) {
auto to_k_ip = std::dynamic_pointer_cast<Linear>(blocks["to_k_ip"]);
auto to_v_ip = std::dynamic_pointer_cast<Linear>(blocks["to_v_ip"]);
auto k_ip = to_k_ip->forward(ctx, ctx->ip_context);
auto v_ip = to_v_ip->forward(ctx, ctx->ip_context);
auto x_ip = ggml_ext_attention_ext(ctx->ggml_ctx, ctx->backend, q, k_ip, v_ip, n_head, nullptr, false, ctx->flash_attn_enabled);
x = ggml_add(ctx->ggml_ctx, x, ggml_scale(ctx->ggml_ctx, x_ip, ctx->ip_scale));
}
x = to_out_0->forward(ctx, x); // [N, n_token, query_dim]
return x;
}
@@ -387,7 +412,7 @@ public:
// inner_dim is always None or equal to dim
// gated_ff is always True
blocks["attn1"] = std::shared_ptr<GGMLBlock>(new CrossAttention(dim, dim, n_head, d_head));
blocks["attn2"] = std::shared_ptr<GGMLBlock>(new CrossAttention(dim, context_dim, n_head, d_head));
blocks["attn2"] = std::shared_ptr<GGMLBlock>(new CrossAttention(dim, context_dim, n_head, d_head, true));
blocks["ff"] = std::shared_ptr<GGMLBlock>(new FeedForward(dim, dim));
blocks["norm1"] = std::shared_ptr<GGMLBlock>(new LayerNorm(dim));
blocks["norm2"] = std::shared_ptr<GGMLBlock>(new LayerNorm(dim));