From 36ba08d3fad43fd302c10ea95d9780ad1edb9357 Mon Sep 17 00:00:00 2001 From: Jaret Burkett Date: Mon, 21 Aug 2023 16:22:01 -0600 Subject: [PATCH] Added a converter back to ldm from diffusers for sdxl. Can finally get to training it properly --- .../ImageReferenceSliderTrainerProcess.py | 2 +- .../UltimateSliderTrainerProcess.py | 2 +- testing/generate_weight_mappings.py | 332 ++ toolkit/config_modules.py | 1 + toolkit/keymaps/stable_diffusion_sdxl.json | 3944 +++++++++++++++++ ...stable_diffusion_sdxl_ldm_base.safetensors | Bin 0 -> 3277308 bytes .../stable_diffusion_sdxl_unmatched.json | 43 + toolkit/paths.py | 1 + toolkit/saving.py | 98 + toolkit/stable_diffusion_model.py | 73 +- 10 files changed, 4475 insertions(+), 21 deletions(-) create mode 100644 testing/generate_weight_mappings.py create mode 100644 toolkit/keymaps/stable_diffusion_sdxl.json create mode 100644 toolkit/keymaps/stable_diffusion_sdxl_ldm_base.safetensors create mode 100644 toolkit/keymaps/stable_diffusion_sdxl_unmatched.json create mode 100644 toolkit/saving.py diff --git a/extensions_built_in/image_reference_slider_trainer/ImageReferenceSliderTrainerProcess.py b/extensions_built_in/image_reference_slider_trainer/ImageReferenceSliderTrainerProcess.py index 3036d8ef..9e28a7c4 100644 --- a/extensions_built_in/image_reference_slider_trainer/ImageReferenceSliderTrainerProcess.py +++ b/extensions_built_in/image_reference_slider_trainer/ImageReferenceSliderTrainerProcess.py @@ -95,7 +95,7 @@ class ImageReferenceSliderTrainerProcess(BaseSDTrainProcess): if weight_jitter > 0.0: jitter_list = random.uniform(-weight_jitter, weight_jitter) network_pos_weight += jitter_list - network_neg_weight += jitter_list + network_neg_weight += (jitter_list * -1.0) # if items in network_weight list are tensors, convert them to floats diff --git a/extensions_built_in/ultimate_slider_trainer/UltimateSliderTrainerProcess.py b/extensions_built_in/ultimate_slider_trainer/UltimateSliderTrainerProcess.py index 76ff7994..857cfa75 100644 --- a/extensions_built_in/ultimate_slider_trainer/UltimateSliderTrainerProcess.py +++ b/extensions_built_in/ultimate_slider_trainer/UltimateSliderTrainerProcess.py @@ -248,7 +248,7 @@ class UltimateSliderTrainerProcess(BaseSDTrainProcess): if weight_jitter > 0.0: jitter_list = random.uniform(-weight_jitter, weight_jitter) network_pos_weight += jitter_list - network_neg_weight += jitter_list + network_neg_weight += (jitter_list * -1.0) # if items in network_weight list are tensors, convert them to floats imgs: torch.Tensor = imgs.to(self.device_torch, dtype=dtype) diff --git a/testing/generate_weight_mappings.py b/testing/generate_weight_mappings.py new file mode 100644 index 00000000..cf544fb9 --- /dev/null +++ b/testing/generate_weight_mappings.py @@ -0,0 +1,332 @@ +import argparse +import gc +import os +import re + +import torch +from diffusers.loaders import LoraLoaderMixin +from safetensors.torch import load_file, save_file +from collections import OrderedDict +import json +from tqdm import tqdm + +from toolkit.config_modules import ModelConfig +from toolkit.stable_diffusion_model import StableDiffusion + +KEYMAPS_FOLDER = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), 'toolkit', 'keymaps') + +device = torch.device('cpu') +dtype = torch.float32 + + +def flush(): + torch.cuda.empty_cache() + gc.collect() + + +def get_reduced_shape(shape_tuple): + # iterate though shape anr remove 1s + new_shape = [] + for dim in shape_tuple: + if dim != 1: + new_shape.append(dim) + return tuple(new_shape) + + +parser = argparse.ArgumentParser() + +# require at lease one config file +parser.add_argument( + 'file_1', + nargs='+', + type=str, + help='Path to first safe tensor file' +) + +parser.add_argument('--name', type=str, default='stable_diffusion', help='name for mapping to make') +parser.add_argument('--sdxl', action='store_true', help='is sdxl model') +parser.add_argument('--sd2', action='store_true', help='is sd 2 model') + +args = parser.parse_args() + +file_path = args.file_1[0] + +find_matches = False + +print(f'Loading diffusers model') + +diffusers_model_config = ModelConfig( + name_or_path=file_path, + is_xl=args.sdxl, + is_v2=args.sd2, + dtype=dtype, +) +diffusers_sd = StableDiffusion( + model_config=diffusers_model_config, + device=device, + dtype=dtype, +) +diffusers_sd.load_model() +# delete things we dont need +del diffusers_sd.tokenizer +flush() + +print(f'Loading ldm model') +diffusers_state_dict = diffusers_sd.state_dict() +diffusers_dict_keys = list(diffusers_state_dict.keys()) + +ldm_state_dict = load_file(file_path) +ldm_dict_keys = list(ldm_state_dict.keys()) + +ldm_diffusers_keymap = OrderedDict() +ldm_diffusers_shape_map = OrderedDict() +ldm_operator_map = OrderedDict() +diffusers_operator_map = OrderedDict() + +total_keys = len(ldm_dict_keys) + +matched_ldm_keys = [] +matched_diffusers_keys = [] + +error_margin = 1e-4 + +if args.sdxl: + # do pre known merging + for ldm_key in ldm_dict_keys: + pattern = r"conditioner\.embedders\.1\.model\.transformer\.resblocks\.(\d+)\.attn\.in_proj_weight" + match = re.match(pattern, ldm_key) + if match: + number = int(match.group(1)) + new_val = torch.cat([ + diffusers_state_dict[f"te1_text_model.encoder.layers.{number}.self_attn.q_proj.weight"], + diffusers_state_dict[f"te1_text_model.encoder.layers.{number}.self_attn.k_proj.weight"], + diffusers_state_dict[f"te1_text_model.encoder.layers.{number}.self_attn.v_proj.weight"], + ], dim=0) + # add to matched so we dont check them + matched_diffusers_keys.append(f"te1_text_model.encoder.layers.{number}.self_attn.q_proj.weight") + matched_diffusers_keys.append(f"te1_text_model.encoder.layers.{number}.self_attn.k_proj.weight") + matched_diffusers_keys.append(f"te1_text_model.encoder.layers.{number}.self_attn.v_proj.weight") + # make diffusers convertable_dict + diffusers_state_dict[f"te1_text_model.encoder.layers.{number}.self_attn.MERGED.weight"] = new_val + + # add operator + ldm_operator_map[ldm_key] = { + "cat": [ + f"te1_text_model.encoder.layers.{number}.self_attn.q_proj.weight", + f"te1_text_model.encoder.layers.{number}.self_attn.k_proj.weight", + f"te1_text_model.encoder.layers.{number}.self_attn.v_proj.weight", + ], + "target": f"te1_text_model.encoder.layers.{number}.self_attn.MERGED.weight" + } + + if "conditioner.embedders.1.model.text_projection" in ldm_dict_keys: + # d_model = int(checkpoint[prefix + "text_projection"].shape[0])) + d_model = int(ldm_state_dict["conditioner.embedders.1.model.text_projection"].shape[0]) + else: + d_model = 1024 + + # text_model_dict[new_key + ".q_proj.weight"] = checkpoint[key][:d_model, :] + # text_model_dict[new_key + ".k_proj.weight"] = checkpoint[key][d_model: d_model * 2, :] + # text_model_dict[new_key + ".v_proj.weight"] = checkpoint[key][d_model * 2:, :] + + # add diffusers operators + diffusers_operator_map[f"te1_text_model.encoder.layers.{number}.self_attn.q_proj.weight"] = { + "slice": [ + f"conditioner.embedders.1.model.transformer.resblocks.{number}.attn.in_proj_weight", + f"0:{d_model}, :" + ] + } + diffusers_operator_map[f"te1_text_model.encoder.layers.{number}.self_attn.k_proj.weight"] = { + "slice": [ + f"conditioner.embedders.1.model.transformer.resblocks.{number}.attn.in_proj_weight", + f"{d_model}:{d_model * 2}, :" + ] + } + diffusers_operator_map[f"te1_text_model.encoder.layers.{number}.self_attn.v_proj.weight"] = { + "slice": [ + f"conditioner.embedders.1.model.transformer.resblocks.{number}.attn.in_proj_weight", + f"{d_model * 2}:, :" + ] + } + + pattern = r"conditioner\.embedders\.1\.model\.transformer\.resblocks\.(\d+)\.attn\.in_proj_bias" + match = re.match(pattern, ldm_key) + if match: + number = int(match.group(1)) + new_val = torch.cat([ + diffusers_state_dict[f"te1_text_model.encoder.layers.{number}.self_attn.q_proj.bias"], + diffusers_state_dict[f"te1_text_model.encoder.layers.{number}.self_attn.k_proj.bias"], + diffusers_state_dict[f"te1_text_model.encoder.layers.{number}.self_attn.v_proj.bias"], + ], dim=0) + # add to matched so we dont check them + matched_diffusers_keys.append(f"te1_text_model.encoder.layers.{number}.self_attn.q_proj.bias") + matched_diffusers_keys.append(f"te1_text_model.encoder.layers.{number}.self_attn.k_proj.bias") + matched_diffusers_keys.append(f"te1_text_model.encoder.layers.{number}.self_attn.v_proj.bias") + # make diffusers convertable_dict + diffusers_state_dict[f"te1_text_model.encoder.layers.{number}.self_attn.MERGED.bias"] = new_val + + # add operator + ldm_operator_map[ldm_key] = { + "cat": [ + f"te1_text_model.encoder.layers.{number}.self_attn.q_proj.bias", + f"te1_text_model.encoder.layers.{number}.self_attn.k_proj.bias", + f"te1_text_model.encoder.layers.{number}.self_attn.v_proj.bias", + ], + "target": f"te1_text_model.encoder.layers.{number}.self_attn.MERGED.bias" + } + + # update keys + diffusers_dict_keys = list(diffusers_state_dict.keys()) + +pbar = tqdm(ldm_dict_keys, desc='Matching ldm-diffusers keys', total=total_keys) +# run through all weights and check mse between them to find matches +for ldm_key in ldm_dict_keys: + ldm_shape_tuple = ldm_state_dict[ldm_key].shape + ldm_reduced_shape_tuple = get_reduced_shape(ldm_shape_tuple) + for diffusers_key in diffusers_dict_keys: + diffusers_shape_tuple = diffusers_state_dict[diffusers_key].shape + diffusers_reduced_shape_tuple = get_reduced_shape(diffusers_shape_tuple) + + # That was easy. Same key + if ldm_key == diffusers_key: + ldm_diffusers_keymap[ldm_key] = diffusers_key + matched_ldm_keys.append(ldm_key) + matched_diffusers_keys.append(diffusers_key) + break + + # if we already have this key mapped, skip it + if diffusers_key in matched_diffusers_keys: + continue + + # if reduced shapes do not match skip it + if ldm_reduced_shape_tuple != diffusers_reduced_shape_tuple: + continue + + ldm_weight = ldm_state_dict[ldm_key] + did_reduce_ldm = False + diffusers_weight = diffusers_state_dict[diffusers_key] + did_reduce_diffusers = False + + # reduce the shapes to match if they are not the same + if ldm_shape_tuple != ldm_reduced_shape_tuple: + ldm_weight = ldm_weight.view(ldm_reduced_shape_tuple) + did_reduce_ldm = True + + if diffusers_shape_tuple != diffusers_reduced_shape_tuple: + diffusers_weight = diffusers_weight.view(diffusers_reduced_shape_tuple) + did_reduce_diffusers = True + + # check to see if they match within a margin of error + mse = torch.nn.functional.mse_loss(ldm_weight, diffusers_weight) + if mse < error_margin: + ldm_diffusers_keymap[ldm_key] = diffusers_key + matched_ldm_keys.append(ldm_key) + matched_diffusers_keys.append(diffusers_key) + + if did_reduce_ldm or did_reduce_diffusers: + ldm_diffusers_shape_map[ldm_key] = (ldm_shape_tuple, diffusers_shape_tuple) + if did_reduce_ldm: + del ldm_weight + if did_reduce_diffusers: + del diffusers_weight + flush() + + break + + pbar.update(1) + +pbar.close() + +name = args.name +if args.sdxl: + name += '_sdxl' +elif args.sd2: + name += '_sd2' +else: + name += '_sd1' + +# if len(matched_ldm_keys) != len(matched_diffusers_keys): +unmatched_ldm_keys = [x for x in ldm_dict_keys if x not in matched_ldm_keys] +unmatched_diffusers_keys = [x for x in diffusers_dict_keys if x not in matched_diffusers_keys] +# has unmatched keys + +has_unmatched_keys = len(unmatched_ldm_keys) > 0 or len(unmatched_diffusers_keys) > 0 + + +def get_slices_from_string(s: str) -> tuple: + slice_strings = s.split(',') + slices = [eval(f"slice({component.strip()})") for component in slice_strings] + return tuple(slices) + + +if has_unmatched_keys: + + print( + f"Found {len(unmatched_ldm_keys)} unmatched ldm keys and {len(unmatched_diffusers_keys)} unmatched diffusers keys") + + unmatched_obj = OrderedDict() + unmatched_obj['ldm'] = OrderedDict() + unmatched_obj['diffusers'] = OrderedDict() + + print(f"Gathering info on unmatched keys") + + for key in tqdm(unmatched_ldm_keys, desc='Unmatched LDM keys'): + # get min, max, mean, std + weight = ldm_state_dict[key] + weight_min = weight.min().item() + weight_max = weight.max().item() + weight_mean = weight.mean().item() + weight_std = weight.std().item() + unmatched_obj['ldm'][key] = { + 'shape': weight.shape, + "min": weight_min, + "max": weight_max, + "mean": weight_mean, + "std": weight_std, + } + del weight + flush() + + for key in tqdm(unmatched_diffusers_keys, desc='Unmatched Diffusers keys'): + # get min, max, mean, std + weight = diffusers_state_dict[key] + weight_min = weight.min().item() + weight_max = weight.max().item() + weight_mean = weight.mean().item() + weight_std = weight.std().item() + unmatched_obj['diffusers'][key] = { + "shape": weight.shape, + "min": weight_min, + "max": weight_max, + "mean": weight_mean, + "std": weight_std, + } + del weight + flush() + + unmatched_path = os.path.join(KEYMAPS_FOLDER, f'{name}_unmatched.json') + with open(unmatched_path, 'w') as f: + f.write(json.dumps(unmatched_obj, indent=4)) + + print(f'Saved unmatched keys to {unmatched_path}') + +# save ldm remainders +remaining_ldm_values = OrderedDict() +for key in unmatched_ldm_keys: + remaining_ldm_values[key] = ldm_state_dict[key].detach().to('cpu', torch.float16) + +save_file(remaining_ldm_values, os.path.join(KEYMAPS_FOLDER, f'{name}_ldm_base.safetensors')) +print(f'Saved remaining ldm values to {os.path.join(KEYMAPS_FOLDER, f"{name}_ldm_base.safetensors")}') + + +dest_path = os.path.join(KEYMAPS_FOLDER, f'{name}.json') +save_obj = OrderedDict() +save_obj["ldm_diffusers_keymap"] = ldm_diffusers_keymap +save_obj["ldm_diffusers_shape_map"] = ldm_diffusers_shape_map +save_obj["ldm_diffusers_operator_map"] = ldm_operator_map +save_obj["diffusers_ldm_operator_map"] = diffusers_operator_map + +with open(dest_path, 'w') as f: + f.write(json.dumps(save_obj, indent=4)) + +print(f'Saved keymap to {dest_path}') diff --git a/toolkit/config_modules.py b/toolkit/config_modules.py index fb00aafc..f95196a8 100644 --- a/toolkit/config_modules.py +++ b/toolkit/config_modules.py @@ -77,6 +77,7 @@ class ModelConfig: self.is_xl: bool = kwargs.get('is_xl', False) self.is_v_pred: bool = kwargs.get('is_v_pred', False) self.dtype: str = kwargs.get('dtype', 'float16') + self.vae_path = kwargs.get('vae_path', None) # only for SDXL models for now self.use_text_encoder_1: bool = kwargs.get('use_text_encoder_1', True) diff --git a/toolkit/keymaps/stable_diffusion_sdxl.json 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