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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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initial SDXL refiner support
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@@ -14,6 +14,7 @@ config_sd2 = os.path.join(sd_repo_configs_path, "v2-inference.yaml")
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config_sd2v = os.path.join(sd_repo_configs_path, "v2-inference-v.yaml")
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config_sd2_inpainting = os.path.join(sd_repo_configs_path, "v2-inpainting-inference.yaml")
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config_sdxl = os.path.join(sd_xl_repo_configs_path, "sd_xl_base.yaml")
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config_sdxl_refiner = os.path.join(sd_xl_repo_configs_path, "sd_xl_refiner.yaml")
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config_depth_model = os.path.join(sd_repo_configs_path, "v2-midas-inference.yaml")
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config_unclip = os.path.join(sd_repo_configs_path, "v2-1-stable-unclip-l-inference.yaml")
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config_unopenclip = os.path.join(sd_repo_configs_path, "v2-1-stable-unclip-h-inference.yaml")
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@@ -72,6 +73,8 @@ def guess_model_config_from_state_dict(sd, filename):
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if sd.get('conditioner.embedders.1.model.ln_final.weight', None) is not None:
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return config_sdxl
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if sd.get('conditioner.embedders.0.model.ln_final.weight', None) is not None:
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return config_sdxl_refiner
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elif sd.get('depth_model.model.pretrained.act_postprocess3.0.project.0.bias', None) is not None:
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return config_depth_model
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elif sd2_variations_weight is not None and sd2_variations_weight.shape[0] == 768:
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