import re import os from modules import shared, paths sd_configs_path = shared.sd_configs_path sd_repo_configs_path = os.path.join(paths.paths['Stable Diffusion'], "configs", "stable-diffusion") config_default = shared.sd_default_config config_sd2 = os.path.join(sd_repo_configs_path, "v2-inference.yaml") config_sd2v = os.path.join(sd_repo_configs_path, "v2-inference-v.yaml") config_depth_model = os.path.join(sd_repo_configs_path, "v2-midas-inference.yaml") config_inpainting = os.path.join(sd_configs_path, "v1-inpainting-inference.yaml") config_instruct_pix2pix = os.path.join(sd_configs_path, "instruct-pix2pix.yaml") config_alt_diffusion = os.path.join(sd_configs_path, "alt-diffusion-inference.yaml") re_parametrization_v = re.compile(r'-v\b') def guess_model_config_from_state_dict(sd, filename): fn = os.path.basename(filename) sd2_cond_proj_weight = sd.get('cond_stage_model.model.transformer.resblocks.0.attn.in_proj_weight', None) diffusion_model_input = sd.get('model.diffusion_model.input_blocks.0.0.weight', None) if sd.get('depth_model.model.pretrained.act_postprocess3.0.project.0.bias', None) is not None: return config_depth_model if sd2_cond_proj_weight is not None and sd2_cond_proj_weight.shape[1] == 1024: if re.search(re_parametrization_v, fn) or "v2-1_768" in fn: return config_sd2v else: return config_sd2 if diffusion_model_input is not None: if diffusion_model_input.shape[1] == 9: return config_inpainting if diffusion_model_input.shape[1] == 8: return config_instruct_pix2pix if sd.get('cond_stage_model.roberta.embeddings.word_embeddings.weight', None) is not None: return config_alt_diffusion return config_default def find_checkpoint_config(state_dict, info): if info is None: return guess_model_config_from_state_dict(state_dict, "") config = find_checkpoint_config_near_filename(info) if config is not None: return config return guess_model_config_from_state_dict(state_dict, info.filename) def find_checkpoint_config_near_filename(info): if info is None: return None config = os.path.splitext(info.filename)[0] + ".yaml" if os.path.exists(config): return config return None