From d3c86e5178725b11a4679097f0aefb0a9fc90014 Mon Sep 17 00:00:00 2001 From: Jared Deckard Date: Wed, 14 Jun 2023 14:03:44 -0500 Subject: Note the Gradio user in the Exif data --- modules/processing.py | 3 +++ 1 file changed, 3 insertions(+) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index d22b353f..3e8d153e 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -180,6 +180,8 @@ class StableDiffusionProcessing: self.uc = None self.c = None + self.user = None + @property def sd_model(self): return shared.sd_model @@ -578,6 +580,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter "NGMS": None if p.s_min_uncond == 0 else p.s_min_uncond, **p.extra_generation_params, "Version": program_version() if opts.add_version_to_infotext else None, + "User": p.user, } generation_params_text = ", ".join([k if k == v else f'{k}: {generation_parameters_copypaste.quote(v)}' for k, v in generation_params.items() if v is not None]) -- cgit v1.2.3 From f603275d84301b5ee952683e951dd1aad72ba615 Mon Sep 17 00:00:00 2001 From: Jared Deckard Date: Thu, 15 Jun 2023 10:55:53 -0500 Subject: Add an opt-in infotext user name setting --- modules/processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index 3e8d153e..a0cc8db2 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -580,7 +580,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter "NGMS": None if p.s_min_uncond == 0 else p.s_min_uncond, **p.extra_generation_params, "Version": program_version() if opts.add_version_to_infotext else None, - "User": p.user, + "User": p.user if opts.add_user_name_to_info else None, } generation_params_text = ", ".join([k if k == v else f'{k}: {generation_parameters_copypaste.quote(v)}' for k, v in generation_params.items() if v is not None]) -- cgit v1.2.3 From 27e9e3f6fa41c10eb5256662ddf3643dee933810 Mon Sep 17 00:00:00 2001 From: stablegeniusdiffuser Date: Mon, 19 Jun 2023 20:36:44 +0200 Subject: Add use_main_prompt parameter to use proper metadata for batch run grids or individual images --- modules/processing.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index 8da73884..1d97e95e 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -549,7 +549,7 @@ def program_version(): return res -def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0): +def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0, use_main_prompt=False): index = position_in_batch + iteration * p.batch_size clip_skip = getattr(p, 'clip_skip', opts.CLIP_stop_at_last_layers) @@ -589,9 +589,10 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter generation_params_text = ", ".join([k if k == v else f'{k}: {generation_parameters_copypaste.quote(v)}' for k, v in generation_params.items() if v is not None]) + prompt_text = p.prompt if use_main_prompt else all_prompts[index] negative_prompt_text = f"\nNegative prompt: {p.all_negative_prompts[index]}" if p.all_negative_prompts[index] else "" - return f"{all_prompts[index]}{negative_prompt_text}\n{generation_params_text}".strip() + return f"{prompt_text}{negative_prompt_text}\n{generation_params_text}".strip() def process_images(p: StableDiffusionProcessing) -> Processed: @@ -663,8 +664,8 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: else: p.all_subseeds = [int(subseed) + x for x in range(len(p.all_prompts))] - def infotext(iteration=0, position_in_batch=0): - return create_infotext(p, p.all_prompts, p.all_seeds, p.all_subseeds, comments, iteration, position_in_batch) + def infotext(iteration=0, position_in_batch=0, use_main_prompt=False): + return create_infotext(p, p.all_prompts, p.all_seeds, p.all_subseeds, comments, iteration, position_in_batch, use_main_prompt) if os.path.exists(cmd_opts.embeddings_dir) and not p.do_not_reload_embeddings: model_hijack.embedding_db.load_textual_inversion_embeddings() @@ -824,7 +825,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: grid = images.image_grid(output_images, p.batch_size) if opts.return_grid: - text = infotext() + text = infotext(use_main_prompt=True) infotexts.insert(0, text) if opts.enable_pnginfo: grid.info["parameters"] = text @@ -832,7 +833,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: index_of_first_image = 1 if opts.grid_save: - images.save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], opts.grid_format, info=infotext(), short_filename=not opts.grid_extended_filename, p=p, grid=True) + images.save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], opts.grid_format, info=infotext(use_main_prompt=True), short_filename=not opts.grid_extended_filename, p=p, grid=True) if not p.disable_extra_networks and p.extra_network_data: extra_networks.deactivate(p, p.extra_network_data) -- cgit v1.2.3 From b0ec69b360835a901a1aa57df1f7c8c9d55bf31c Mon Sep 17 00:00:00 2001 From: hako-mikan <122196982+hako-mikan@users.noreply.github.com> Date: Wed, 28 Jun 2023 18:37:08 +0900 Subject: add 'before_hr callback' script callback --- modules/processing.py | 3 +++ 1 file changed, 3 insertions(+) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index 8da73884..35463c37 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -1074,6 +1074,9 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): sd_models.apply_token_merging(self.sd_model, self.get_token_merging_ratio(for_hr=True)) + if self.scripts is not None: + self.scripts.before_hr(self) + samples = self.sampler.sample_img2img(self, samples, noise, self.hr_c, self.hr_uc, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning) sd_models.apply_token_merging(self.sd_model, self.get_token_merging_ratio()) -- cgit v1.2.3 From 7f46f81dd7b517e829395734750f0eb8360675d4 Mon Sep 17 00:00:00 2001 From: missionfloyd Date: Sat, 1 Jul 2023 17:20:56 -0600 Subject: Change default seed_resize to 0 --- modules/processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index 8da73884..9e838aad 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -109,7 +109,7 @@ class StableDiffusionProcessing: cached_uc = [None, None] cached_c = [None, None] - def __init__(self, sd_model=None, outpath_samples=None, outpath_grids=None, prompt: str = "", styles: List[str] = None, seed: int = -1, subseed: int = -1, subseed_strength: float = 0, seed_resize_from_h: int = -1, seed_resize_from_w: int = -1, seed_enable_extras: bool = True, sampler_name: str = None, batch_size: int = 1, n_iter: int = 1, steps: int = 50, cfg_scale: float = 7.0, width: int = 512, height: int = 512, restore_faces: bool = False, tiling: bool = False, do_not_save_samples: bool = False, do_not_save_grid: bool = False, extra_generation_params: Dict[Any, Any] = None, overlay_images: Any = None, negative_prompt: str = None, eta: float = None, do_not_reload_embeddings: bool = False, denoising_strength: float = 0, ddim_discretize: str = None, s_min_uncond: float = 0.0, s_churn: float = 0.0, s_tmax: float = None, s_tmin: float = 0.0, s_noise: float = 1.0, override_settings: Dict[str, Any] = None, override_settings_restore_afterwards: bool = True, sampler_index: int = None, script_args: list = None): + def __init__(self, sd_model=None, outpath_samples=None, outpath_grids=None, prompt: str = "", styles: List[str] = None, seed: int = -1, subseed: int = -1, subseed_strength: float = 0, seed_resize_from_h: int = 0, seed_resize_from_w: int = 0, seed_enable_extras: bool = True, sampler_name: str = None, batch_size: int = 1, n_iter: int = 1, steps: int = 50, cfg_scale: float = 7.0, width: int = 512, height: int = 512, restore_faces: bool = False, tiling: bool = False, do_not_save_samples: bool = False, do_not_save_grid: bool = False, extra_generation_params: Dict[Any, Any] = None, overlay_images: Any = None, negative_prompt: str = None, eta: float = None, do_not_reload_embeddings: bool = False, denoising_strength: float = 0, ddim_discretize: str = None, s_min_uncond: float = 0.0, s_churn: float = 0.0, s_tmax: float = None, s_tmin: float = 0.0, s_noise: float = 1.0, override_settings: Dict[str, Any] = None, override_settings_restore_afterwards: bool = True, sampler_index: int = None, script_args: list = None): if sampler_index is not None: print("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name", file=sys.stderr) -- cgit v1.2.3 From f731a728c68035ee36317ed0096ac5ecbfd50553 Mon Sep 17 00:00:00 2001 From: missionfloyd Date: Mon, 3 Jul 2023 11:41:10 -0600 Subject: Check seed_resize_from <= 0 --- modules/processing.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index 9e838aad..dc552121 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -109,7 +109,7 @@ class StableDiffusionProcessing: cached_uc = [None, None] cached_c = [None, None] - def __init__(self, sd_model=None, outpath_samples=None, outpath_grids=None, prompt: str = "", styles: List[str] = None, seed: int = -1, subseed: int = -1, subseed_strength: float = 0, seed_resize_from_h: int = 0, seed_resize_from_w: int = 0, seed_enable_extras: bool = True, sampler_name: str = None, batch_size: int = 1, n_iter: int = 1, steps: int = 50, cfg_scale: float = 7.0, width: int = 512, height: int = 512, restore_faces: bool = False, tiling: bool = False, do_not_save_samples: bool = False, do_not_save_grid: bool = False, extra_generation_params: Dict[Any, Any] = None, overlay_images: Any = None, negative_prompt: str = None, eta: float = None, do_not_reload_embeddings: bool = False, denoising_strength: float = 0, ddim_discretize: str = None, s_min_uncond: float = 0.0, s_churn: float = 0.0, s_tmax: float = None, s_tmin: float = 0.0, s_noise: float = 1.0, override_settings: Dict[str, Any] = None, override_settings_restore_afterwards: bool = True, sampler_index: int = None, script_args: list = None): + def __init__(self, sd_model=None, outpath_samples=None, outpath_grids=None, prompt: str = "", styles: List[str] = None, seed: int = -1, subseed: int = -1, subseed_strength: float = 0, seed_resize_from_h: int = -1, seed_resize_from_w: int = -1, seed_enable_extras: bool = True, sampler_name: str = None, batch_size: int = 1, n_iter: int = 1, steps: int = 50, cfg_scale: float = 7.0, width: int = 512, height: int = 512, restore_faces: bool = False, tiling: bool = False, do_not_save_samples: bool = False, do_not_save_grid: bool = False, extra_generation_params: Dict[Any, Any] = None, overlay_images: Any = None, negative_prompt: str = None, eta: float = None, do_not_reload_embeddings: bool = False, denoising_strength: float = 0, ddim_discretize: str = None, s_min_uncond: float = 0.0, s_churn: float = 0.0, s_tmax: float = None, s_tmin: float = 0.0, s_noise: float = 1.0, override_settings: Dict[str, Any] = None, override_settings_restore_afterwards: bool = True, sampler_index: int = None, script_args: list = None): if sampler_index is not None: print("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name", file=sys.stderr) @@ -573,7 +573,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter "Model": (None if not opts.add_model_name_to_info or not shared.sd_model.sd_checkpoint_info.model_name else shared.sd_model.sd_checkpoint_info.model_name.replace(',', '').replace(':', '')), "Variation seed": (None if p.subseed_strength == 0 else all_subseeds[index]), "Variation seed strength": (None if p.subseed_strength == 0 else p.subseed_strength), - "Seed resize from": (None if p.seed_resize_from_w == 0 or p.seed_resize_from_h == 0 else f"{p.seed_resize_from_w}x{p.seed_resize_from_h}"), + "Seed resize from": (None if p.seed_resize_from_w <= 0 or p.seed_resize_from_h <= 0 else f"{p.seed_resize_from_w}x{p.seed_resize_from_h}"), "Denoising strength": getattr(p, 'denoising_strength', None), "Conditional mask weight": getattr(p, "inpainting_mask_weight", shared.opts.inpainting_mask_weight) if p.is_using_inpainting_conditioning else None, "Clip skip": None if clip_skip <= 1 else clip_skip, -- cgit v1.2.3 From da468a585bb631bc91c3435f349dfb7ce7fe3895 Mon Sep 17 00:00:00 2001 From: Aarni Koskela Date: Mon, 3 Jul 2023 12:17:20 +0300 Subject: Fix typo: checkpoint_alisases --- modules/processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index 21d1492c..cd568a20 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -606,7 +606,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed: try: # if no checkpoint override or the override checkpoint can't be found, remove override entry and load opts checkpoint - if sd_models.checkpoint_alisases.get(p.override_settings.get('sd_model_checkpoint')) is None: + if sd_models.checkpoint_aliases.get(p.override_settings.get('sd_model_checkpoint')) is None: p.override_settings.pop('sd_model_checkpoint', None) sd_models.reload_model_weights() -- cgit v1.2.3 From da464a3fb39ecc6ea7b22fe87271194480d8501c Mon Sep 17 00:00:00 2001 From: AUTOMATIC1111 <16777216c@gmail.com> Date: Wed, 12 Jul 2023 23:52:43 +0300 Subject: SDXL support --- modules/processing.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index cd568a20..85d35423 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -343,10 +343,13 @@ class StableDiffusionProcessing: return cache[1] def setup_conds(self): + prompts = prompt_parser.SdConditioning(self.prompts, width=self.width, height=self.height) + negative_prompts = prompt_parser.SdConditioning(self.negative_prompts, width=self.width, height=self.height) + sampler_config = sd_samplers.find_sampler_config(self.sampler_name) self.step_multiplier = 2 if sampler_config and sampler_config.options.get("second_order", False) else 1 - self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, self.negative_prompts, self.steps * self.step_multiplier, [self.cached_uc], self.extra_network_data) - self.c = self.get_conds_with_caching(prompt_parser.get_multicond_learned_conditioning, self.prompts, self.steps * self.step_multiplier, [self.cached_c], self.extra_network_data) + self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, negative_prompts, self.steps * self.step_multiplier, [self.cached_uc], self.extra_network_data) + self.c = self.get_conds_with_caching(prompt_parser.get_multicond_learned_conditioning, prompts, self.steps * self.step_multiplier, [self.cached_c], self.extra_network_data) def parse_extra_network_prompts(self): self.prompts, self.extra_network_data = extra_networks.parse_prompts(self.prompts) -- cgit v1.2.3 From 594c8e7b263d9b37f4b18b56b159aeb6d1bba1b4 Mon Sep 17 00:00:00 2001 From: AUTOMATIC1111 <16777216c@gmail.com> Date: Thu, 13 Jul 2023 11:35:52 +0300 Subject: fix CLIP doing the unneeded normalization revert SD2.1 back to use the original repo add SDXL's force_zero_embeddings to negative prompt --- modules/processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index 85d35423..f01a6907 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -344,7 +344,7 @@ class StableDiffusionProcessing: def setup_conds(self): prompts = prompt_parser.SdConditioning(self.prompts, width=self.width, height=self.height) - negative_prompts = prompt_parser.SdConditioning(self.negative_prompts, width=self.width, height=self.height) + negative_prompts = prompt_parser.SdConditioning(self.negative_prompts, width=self.width, height=self.height, is_negative_prompt=True) sampler_config = sd_samplers.find_sampler_config(self.sampler_name) self.step_multiplier = 2 if sampler_config and sampler_config.options.get("second_order", False) else 1 -- cgit v1.2.3 From 471a5a66b73921d569242daccc5275cb195e3f06 Mon Sep 17 00:00:00 2001 From: AUTOMATIC1111 <16777216c@gmail.com> Date: Fri, 14 Jul 2023 17:54:09 +0300 Subject: add more relevant fields to caching conds --- modules/processing.py | 17 +++++++++++++++-- 1 file changed, 15 insertions(+), 2 deletions(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index f01a6907..f68e010d 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -330,8 +330,21 @@ class StableDiffusionProcessing: caches is a list with items described above. """ + + cached_params = ( + required_prompts, + steps, + opts.CLIP_stop_at_last_layers, + shared.sd_model.sd_checkpoint_info, + extra_network_data, + opts.sdxl_crop_left, + opts.sdxl_crop_top, + self.width, + self.height, + ) + for cache in caches: - if cache[0] is not None and (required_prompts, steps, opts.CLIP_stop_at_last_layers, shared.sd_model.sd_checkpoint_info, extra_network_data) == cache[0]: + if cache[0] is not None and cached_params == cache[0]: return cache[1] cache = caches[0] @@ -339,7 +352,7 @@ class StableDiffusionProcessing: with devices.autocast(): cache[1] = function(shared.sd_model, required_prompts, steps) - cache[0] = (required_prompts, steps, opts.CLIP_stop_at_last_layers, shared.sd_model.sd_checkpoint_info, extra_network_data) + cache[0] = cached_params return cache[1] def setup_conds(self): -- cgit v1.2.3 From 14cf434bc36d0ef31f31d4c6cd2bd15d7857d5c8 Mon Sep 17 00:00:00 2001 From: AUTOMATIC1111 <16777216c@gmail.com> Date: Sat, 15 Jul 2023 07:33:16 +0300 Subject: fix an issue in live previews that happens when you use SDXL with fp16 VAE --- modules/processing.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index f68e010d..eb4a60eb 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -539,8 +539,7 @@ def create_random_tensors(shape, seeds, subseeds=None, subseed_strength=0.0, see def decode_first_stage(model, x): - with devices.autocast(disable=x.dtype == devices.dtype_vae): - x = model.decode_first_stage(x) + x = model.decode_first_stage(x.to(devices.dtype_vae)) return x -- cgit v1.2.3 From 2b1bae0d755c2d5201f6a6aadeadb5588208d43f Mon Sep 17 00:00:00 2001 From: AUTOMATIC1111 <16777216c@gmail.com> Date: Sat, 15 Jul 2023 08:41:22 +0300 Subject: add textual inversion hashes to infotext --- modules/processing.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index cd568a20..49441e77 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -732,9 +732,10 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: p.setup_conds() - if len(model_hijack.comments) > 0: - for comment in model_hijack.comments: - comments[comment] = 1 + for comment in model_hijack.comments: + comments[comment] = 1 + + p.extra_generation_params.update(model_hijack.extra_generation_params) if p.n_iter > 1: shared.state.job = f"Batch {n+1} out of {p.n_iter}" -- cgit v1.2.3 From 570f42afd122405116b39b880cdb5163fd5ca3e2 Mon Sep 17 00:00:00 2001 From: AUTOMATIC1111 <16777216c@gmail.com> Date: Sun, 16 Jul 2023 12:28:50 +0300 Subject: possible fix for FP16 VAE failing in img2img SDXL --- modules/processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index e7b10808..6567b3cf 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -1303,7 +1303,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): image = torch.from_numpy(batch_images) image = 2. * image - 1. - image = image.to(shared.device) + image = image.to(shared.device, dtype=devices.dtype_vae) self.init_latent = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(image)) -- cgit v1.2.3 From c8b55f29e2838e67bd9e394f5dbca4350ccbb68f Mon Sep 17 00:00:00 2001 From: w-e-w <40751091+w-e-w@users.noreply.github.com> Date: Wed, 19 Jul 2023 08:27:19 +0900 Subject: missing p save_image before-highres-fix --- modules/processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index 6567b3cf..b89ca5c2 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -1029,7 +1029,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): image = sd_samplers.sample_to_image(image, index, approximation=0) info = create_infotext(self, self.all_prompts, self.all_seeds, self.all_subseeds, [], iteration=self.iteration, position_in_batch=index) - images.save_image(image, self.outpath_samples, "", seeds[index], prompts[index], opts.samples_format, info=info, suffix="-before-highres-fix") + images.save_image(image, self.outpath_samples, "", seeds[index], prompts[index], opts.samples_format, info=info, p=self, suffix="-before-highres-fix") if latent_scale_mode is not None: for i in range(samples.shape[0]): -- cgit v1.2.3 From 4334d25978ded517a76359e9e92b8101610cc35f Mon Sep 17 00:00:00 2001 From: AUTOMATIC1111 <16777216c@gmail.com> Date: Wed, 19 Jul 2023 15:49:31 +0300 Subject: bugfix: model name was added together with directory name to infotext and to [model_name] filename pattern --- modules/processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index b89ca5c2..e028bf9e 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -587,7 +587,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter "Face restoration": (opts.face_restoration_model if p.restore_faces else None), "Size": f"{p.width}x{p.height}", "Model hash": getattr(p, 'sd_model_hash', None if not opts.add_model_hash_to_info or not shared.sd_model.sd_model_hash else shared.sd_model.sd_model_hash), - "Model": (None if not opts.add_model_name_to_info or not shared.sd_model.sd_checkpoint_info.model_name else shared.sd_model.sd_checkpoint_info.model_name.replace(',', '').replace(':', '')), + "Model": (None if not opts.add_model_name_to_info else shared.sd_model.sd_checkpoint_info.name_for_extra), "Variation seed": (None if p.subseed_strength == 0 else all_subseeds[index]), "Variation seed strength": (None if p.subseed_strength == 0 else p.subseed_strength), "Seed resize from": (None if p.seed_resize_from_w <= 0 or p.seed_resize_from_h <= 0 else f"{p.seed_resize_from_w}x{p.seed_resize_from_h}"), -- cgit v1.2.3 From 23c947ab0374220c39ac54fc00afcb74e809dd95 Mon Sep 17 00:00:00 2001 From: AUTOMATIC1111 <16777216c@gmail.com> Date: Wed, 19 Jul 2023 20:23:30 +0300 Subject: automatically switch to 32-bit float VAE if the generated picture has NaNs. --- modules/processing.py | 41 ++++++++++++++++++++++++++++++++++++----- 1 file changed, 36 insertions(+), 5 deletions(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index e028bf9e..a74a5302 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -14,7 +14,7 @@ from skimage import exposure from typing import Any, Dict, List import modules.sd_hijack -from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, extra_networks, sd_vae_approx, scripts, sd_samplers_common, sd_unet +from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, extra_networks, sd_vae_approx, scripts, sd_samplers_common, sd_unet, errors from modules.sd_hijack import model_hijack from modules.shared import opts, cmd_opts, state import modules.shared as shared @@ -538,6 +538,40 @@ def create_random_tensors(shape, seeds, subseeds=None, subseed_strength=0.0, see return x +def decode_latent_batch(model, batch, target_device=None, check_for_nans=False): + samples = [] + + for i in range(batch.shape[0]): + sample = decode_first_stage(model, batch[i:i + 1])[0] + + if check_for_nans: + try: + devices.test_for_nans(sample, "vae") + except devices.NansException as e: + if devices.dtype_vae == torch.float32 or not shared.opts.auto_vae_precision: + raise e + + errors.print_error_explanation( + "A tensor with all NaNs was produced in VAE.\n" + "Web UI will now convert VAE into 32-bit float and retry.\n" + "To disable this behavior, disable the 'Automaticlly revert VAE to 32-bit floats' setting.\n" + "To always start with 32-bit VAE, use --no-half-vae commandline flag." + ) + + devices.dtype_vae = torch.float32 + model.first_stage_model.to(devices.dtype_vae) + batch = batch.to(devices.dtype_vae) + + sample = decode_first_stage(model, batch[i:i + 1])[0] + + if target_device is not None: + sample = sample.to(target_device) + + samples.append(sample) + + return samples + + def decode_first_stage(model, x): x = model.decode_first_stage(x.to(devices.dtype_vae)) @@ -758,10 +792,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: with devices.without_autocast() if devices.unet_needs_upcast else devices.autocast(): samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts) - x_samples_ddim = [decode_first_stage(p.sd_model, samples_ddim[i:i+1].to(dtype=devices.dtype_vae))[0].cpu() for i in range(samples_ddim.size(0))] - for x in x_samples_ddim: - devices.test_for_nans(x, "vae") - + x_samples_ddim = decode_latent_batch(p.sd_model, samples_ddim, target_device=devices.cpu, check_for_nans=True) x_samples_ddim = torch.stack(x_samples_ddim).float() x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0) -- cgit v1.2.3