add v2-inpainting model detection, and broaden v-model detection to include anything with 768 in the name
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@ -10,6 +10,7 @@ sd_repo_configs_path = os.path.join(paths.paths['Stable Diffusion'], "configs",
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config_default = shared.sd_default_config
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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_depth_model = os.path.join(sd_repo_configs_path, "v2-midas-inference.yaml")
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config_inpainting = os.path.join(sd_configs_path, "v1-inpainting-inference.yaml")
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config_instruct_pix2pix = os.path.join(sd_configs_path, "instruct-pix2pix.yaml")
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@ -28,7 +29,9 @@ def guess_model_config_from_state_dict(sd, filename):
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return config_depth_model
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if sd2_cond_proj_weight is not None and sd2_cond_proj_weight.shape[1] == 1024:
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if re.search(re_parametrization_v, fn) or "v2-1_768" in fn:
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if diffusion_model_input.shape[1] == 9:
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return config_sd2_inpainting
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elif re.search(re_parametrization_v, fn) or "768" in fn:
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return config_sd2v
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else:
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return config_sd2
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