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| # Copyright (c) 2024 Bytedance Ltd. and/or its affiliates | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| def find_phrase_positions_in_text(text, phrase): | |
| """ | |
| Return the position of the first character of the phrase in the text. | |
| """ | |
| position = -1 | |
| positions = [] | |
| while True: | |
| position = text.find(phrase, position + 1) | |
| if position == -1: | |
| break | |
| positions.append(position) | |
| return positions | |
| def classifier_free_guidance_image_prompt_cascade( | |
| pred_t_cond, pred_ti_cond, pred_uncond, guidance_weight_t=7.5, guidance_weight_i=7.5, | |
| guidance_stdev_rescale_factor=0.7, cfg_rescale_mode="none", super_cross_mask=None | |
| ): | |
| if cfg_rescale_mode == "none": | |
| pred = pred_uncond + guidance_weight_t * (pred_t_cond - pred_uncond) + guidance_weight_i * (pred_ti_cond - pred_t_cond) | |
| elif cfg_rescale_mode == "none_direct": | |
| pred = pred_uncond + guidance_weight_i * (pred_ti_cond - pred_uncond) | |
| elif cfg_rescale_mode == "naive": | |
| assert super_cross_mask is not None | |
| pred_std_t_before = pred_t_cond.std([1, 2, 3], keepdim=True) | |
| pred_std_ti_before = pred_ti_cond.std([1, 2, 3], keepdim=True) | |
| pred = pred_uncond + guidance_weight_t * (pred_t_cond - pred_uncond) + guidance_weight_i * (pred_ti_cond - pred_t_cond) | |
| pred_std_after = pred.std([1, 2, 3], keepdim=True) | |
| pred_rescale_t_factor = guidance_stdev_rescale_factor * (pred_std_t_before / pred_std_after) + (1 - guidance_stdev_rescale_factor) | |
| pred_rescale_ti_factor = guidance_stdev_rescale_factor * (pred_std_ti_before / pred_std_after) + (1 - guidance_stdev_rescale_factor) | |
| pred_ti = pred * super_cross_mask | |
| pred_t = pred * (1 - super_cross_mask) | |
| pred = pred_ti * pred_rescale_ti_factor + pred_t * pred_rescale_t_factor | |
| elif cfg_rescale_mode == "naive_global": | |
| pred_std_ti_before = pred_ti_cond.std([1, 2, 3], keepdim=True) | |
| pred = pred_uncond + guidance_weight_t * (pred_t_cond - pred_uncond) + guidance_weight_i * (pred_ti_cond - pred_t_cond) | |
| pred_std_after = pred.std([1, 2, 3], keepdim=True) | |
| pred_rescale_ti_factor = guidance_stdev_rescale_factor * (pred_std_ti_before / pred_std_after) + (1 - guidance_stdev_rescale_factor) | |
| pred = pred * pred_rescale_ti_factor | |
| elif cfg_rescale_mode == "naive_global_direct": | |
| pred_std_ti_before = pred_ti_cond.std([1, 2, 3], keepdim=True) | |
| pred = pred_uncond + guidance_weight_i * (pred_ti_cond - pred_uncond) | |
| pred_std_after = pred.std([1, 2, 3], keepdim=True) | |
| pred_rescale_ti_factor = guidance_stdev_rescale_factor * (pred_std_ti_before / pred_std_after) + (1 - guidance_stdev_rescale_factor) | |
| pred = pred * pred_rescale_ti_factor | |
| else: | |
| raise NotImplementedError() | |
| return pred |