And where do you see fp64?

It seems like everyone is trying to reduce the model and keep the quality, but here it is))

It seems like everyone is trying to reduce the model and keep the quality, but here it is))

have you looked into the related issue link, it would give more context. im not reducing the model size or manipulating it in any way. it errors simply if i use it with stable-diffusion.cpp showing errors of it not recognizing certain tensors

@stduhpf, this can be fixed, maybe easily, since GGML / SD.CPP support F64 and I64 types:
https://github.com/ggml-org/ggml/blob/ff9052988b76e137bcf92bb335733933ca196ac0/include/ggml.h#L379

The function

    } else if (dtype == "F64") {
        ttype = GGML_TYPE_F64;
    } else if (dtype == "I64") {
        ttype = GGML_TYPE_I64;

I tested on SD 1.1 (https://huggingface.co/CompVis/stable-diffusion-v1-1) model, its FP16 text encoder also has i64 tensor which breaks generation.

Also, its unet tensors have "unet.*" naming, therefore line

        if (tensor_storage.name.find("model.diffusion_model.") == std::string::npos &&
            tensor_storage.name.find("unet.") == std::string::npos) {

Or else diffusion model weight type will be undetected (??).

But I'm not sure if these 2 fixes are enough, because SD complained about tensor:
model.cpp:1907 - unknown tensor 'cond_stage_model.transformer.text_model.embeddings.position_ids | i64 | 2 [77, 1, 1, 1, 1]' in model file

It succesfully generated an image, though: