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fix: prevent core dump in PM V2 in case of incomplete cmd line (#950)
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@ -40,7 +40,7 @@ Running PMV2 is now a two-step process:
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```
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python face_detect.py input_image_dir
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```
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An ```id_embeds.safetensors``` file will be generated in ```input_images_dir```
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An ```id_embeds.bin``` file will be generated in ```input_images_dir```
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**Note: this step is only needed to run once; the same ```id_embeds``` can be reused**
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@ -48,6 +48,6 @@ An ```id_embeds.safetensors``` file will be generated in ```input_images_dir```
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You can download ```photomaker-v2.safetensors``` from [here](https://huggingface.co/bssrdf/PhotoMakerV2)
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- All the command line parameters from Version 1 remain the same for Version 2
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- All the command line parameters from Version 1 remain the same for Version 2 plus one extra pointing to a valid ```id_embeds``` file: --pm-id-embed-path [path_to__id_embeds.bin]
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@ -2222,6 +2222,11 @@ sd_image_t* generate_image_internal(sd_ctx_t* sd_ctx,
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id_embeds = load_tensor_from_file(work_ctx, pm_params.id_embed_path);
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// print_ggml_tensor(id_embeds, true, "id_embeds:");
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}
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if (pmv2 && id_embeds == nullptr) {
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LOG_WARN("Provided PhotoMaker images, but NO valid ID embeds file for PM v2");
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LOG_WARN("Turn off PhotoMaker");
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sd_ctx->sd->stacked_id = false;
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} else {
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id_cond.c_crossattn = sd_ctx->sd->id_encoder(work_ctx, init_img, id_cond.c_crossattn, id_embeds, class_tokens_mask);
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int64_t t1 = ggml_time_ms();
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LOG_INFO("Photomaker ID Stacking, taking %" PRId64 " ms", t1 - t0);
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@ -2235,6 +2240,7 @@ sd_image_t* generate_image_internal(sd_ctx_t* sd_ctx,
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if (sample_steps < 50) {
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LOG_WARN("It's recommended to use >= 50 steps for photo maker!");
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}
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}
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} else {
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LOG_WARN("Provided PhotoMaker model file, but NO input ID images");
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LOG_WARN("Turn off PhotoMaker");
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