fix: SDXL ControlNet (diffusers naming + graph size) (#1752)

This commit is contained in:
fszontagh
2026-07-06 16:06:58 +02:00
committed by GitHub
parent 8b135b5489
commit 9e1055d2e3
2 changed files with 61 additions and 1 deletions

View File

@@ -5,7 +5,8 @@
#include "model_loader.h"
#include "model_manager.h"
#define CONTROL_NET_GRAPH_SIZE 1536
// Match main UNet's MAX_GRAPH_SIZE so SDXL ControlNet (transformer_depth={1,2,10}) fits.
#define CONTROL_NET_GRAPH_SIZE MAX_GRAPH_SIZE
/*
=================================== ControlNet ===================================

View File

@@ -736,6 +736,62 @@ std::string convert_diffusers_dit_to_original_krea2(std::string name) {
return name;
}
// Convert a diffusers-format ControlNet tensor name to the original (LDM/lllyasviel) layout
// declared by ControlNetBlock. Reuses the UNet down/mid conversion for the shared encoder
// (down_blocks, mid_block, time_embedding, add_embedding, conv_in) and adds the ControlNet-only
// mappings: input_hint_block, zero_convs, middle_block_out.
std::string convert_diffusers_controlnet_to_original_sdxl(std::string name) {
name = convert_diffusers_unet_to_original_sdxl(std::move(name));
static const std::vector<std::pair<std::string, std::string>> prefix_map = {
{"controlnet_cond_embedding.conv_in.", "input_hint_block.0."},
{"controlnet_cond_embedding.blocks.0.", "input_hint_block.2."},
{"controlnet_cond_embedding.blocks.1.", "input_hint_block.4."},
{"controlnet_cond_embedding.blocks.2.", "input_hint_block.6."},
{"controlnet_cond_embedding.blocks.3.", "input_hint_block.8."},
{"controlnet_cond_embedding.blocks.4.", "input_hint_block.10."},
{"controlnet_cond_embedding.blocks.5.", "input_hint_block.12."},
{"controlnet_cond_embedding.conv_out.", "input_hint_block.14."},
{"controlnet_mid_block.", "middle_block_out.0."},
};
for (const auto& p : prefix_map) {
if (starts_with(name, p.first)) {
return p.second + name.substr(p.first.size());
}
}
static const std::string controlnet_down_prefix = "controlnet_down_blocks.";
if (starts_with(name, controlnet_down_prefix)) {
size_t rest_start = controlnet_down_prefix.size();
size_t dot = name.find('.', rest_start);
if (dot != std::string::npos) {
std::string idx = name.substr(rest_start, dot - rest_start);
return "zero_convs." + idx + ".0" + name.substr(dot);
}
}
return name;
}
static bool is_diffusers_controlnet_name(const std::string& name) {
static const std::vector<std::string> heads = {
"controlnet_cond_embedding.",
"controlnet_down_blocks.",
"controlnet_mid_block.",
"down_blocks.",
"mid_block.",
"time_embedding.",
"add_embedding.",
"conv_in.",
};
for (const auto& h : heads) {
if (starts_with(name, h)) {
return true;
}
}
return false;
}
std::string convert_diffusion_model_name(std::string name, std::string prefix, SDVersion version) {
if (sd_version_is_sd1(version) || sd_version_is_sd2(version)) {
name = convert_diffusers_unet_to_original_sd1(name);
@@ -1338,6 +1394,9 @@ std::string convert_tensor_name(std::string name, SDVersion version) {
name = name.substr(pos + 1);
}
}
if (sd_version_is_sdxl(version) && is_diffusers_controlnet_name(name)) {
name = convert_diffusers_controlnet_to_original_sdxl(name);
}
}
if (is_lora) {