alphard/stable-diffusion.cpp
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feat: add SD-Turbo support

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This commit is contained in:
leejet 2023-12-10 13:15:09 +08:00
parent ca33304318
commit ac8f5a044c
2 changed files with 15 additions and 8 deletions
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1
README.md
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@ -11,6 +11,7 @@ Inference of [Stable Diffusion](https://github.com/CompVis/stable-diffusion) in
- Plain C/C++ implementation based on [ggml](https://github.com/ggerganov/ggml), working in the same way as [llama.cpp](https://github.com/ggerganov/llama.cpp)
- Super lightweight and without external dependencies
- SD1.x and SD2.x support
- [SD-Turbo](https://huggingface.co/stabilityai/sd-turbo) support
- 16-bit, 32-bit float support
- 4-bit, 5-bit and 8-bit integer quantization support
- Accelerated memory-efficient CPU inference

22
model.cpp
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@ -54,7 +54,6 @@ std::string self_attn_names[] = {
"self_attn.q_proj.weight",
"self_attn.k_proj.weight",
"self_attn.v_proj.weight",
"self_attn.q_proj.bias",
"self_attn.k_proj.bias",
"self_attn.v_proj.bias",
@ -75,6 +74,8 @@ const char* unused_tensors[] = {
"cond_stage_model.transformer.text_model.embeddings.position_ids",
"cond_stage_model.model.logit_scale",
"cond_stage_model.model.text_projection",
"conditioner.embedders.0.model.logit_scale",
"conditioner.embedders.0.model.text_projection",
"model.diffusion_model.time_embedding.cond_proj.weight",
"unet.time_embedding.cond_proj.weight",
"model_ema.decay",
@ -82,6 +83,7 @@ const char* unused_tensors[] = {
"model_ema.diffusion_model",
"control_model",
"embedding_manager",
"denoiser.sigmas",
};
bool is_unused_tensor(std::string name) {
@ -126,16 +128,19 @@ std::unordered_map<std::string, std::string> vae_decoder_name_map = {
};
std::string convert_open_clip_to_hf_clip(const std::string& name) {
std::string new_name = name;
std::string new_name = name;
if (starts_with(new_name, "conditioner.embedders.0.")) {
new_name = "cond_stage_model." + new_name.substr(strlen("conditioner.embedders.0."));
}
std::string open_clip_resblock_prefix = "cond_stage_model.model.transformer.resblocks.";
std::string hf_clip_resblock_prefix = "cond_stage_model.transformer.text_model.encoder.layers.";
if (open_clip_to_hf_clip_model.find(name) != open_clip_to_hf_clip_model.end()) {
new_name = open_clip_to_hf_clip_model[name];
if (open_clip_to_hf_clip_model.find(new_name) != open_clip_to_hf_clip_model.end()) {
new_name = open_clip_to_hf_clip_model[new_name];
}
if (name.find(open_clip_resblock_prefix) == 0) {
std::string remain = name.substr(open_clip_resblock_prefix.length());
if (new_name.find(open_clip_resblock_prefix) == 0) {
std::string remain = new_name.substr(open_clip_resblock_prefix.length());
std::string idx = remain.substr(0, remain.find("."));
std::string suffix = remain.substr(idx.length() + 1);
@ -349,7 +354,7 @@ std::string convert_diffusers_name_to_compvis(const std::string& key, char seq)
std::string convert_tensor_name(const std::string& name) {
std::string new_name;
if (starts_with(name, "cond_stage_model.model")) {
if (starts_with(name, "cond_stage_model.model") || starts_with(name, "conditioner.embedders.0.model")) {
new_name = convert_open_clip_to_hf_clip(name);
} else if (starts_with(name, "first_stage_model.decoder")) {
new_name = convert_vae_decoder_name(name);
@ -1159,7 +1164,8 @@ SDVersion ModelLoader::get_sd_version() {
if (tensor_storage.name == "cond_stage_model.transformer.text_model.embeddings.token_embedding.weight" ||
tensor_storage.name == "cond_stage_model.model.token_embedding.weight" ||
tensor_storage.name == "text_model.embeddings.token_embedding.weight" ||
tensor_storage.name == "te.text_model.embeddings.token_embedding.weight") {
tensor_storage.name == "te.text_model.embeddings.token_embedding.weight" ||
tensor_storage.name == "conditioner.embedders.0.model.token_embedding.weight") {
token_embedding_weight = tensor_storage;
break;
}