From 84e97a98c5233119d0f444e0a3a0f6391da23677 Mon Sep 17 00:00:00 2001 From: AUTOMATIC <16777216c@gmail.com> Date: Sat, 1 Oct 2022 00:38:48 +0300 Subject: features updates unused code removed from outpainting mk2 --- scripts/outpainting_mk_2.py | 40 +--------------------------------------- 1 file changed, 1 insertion(+), 39 deletions(-) (limited to 'scripts') diff --git a/scripts/outpainting_mk_2.py b/scripts/outpainting_mk_2.py index 9719bb8f..11613ca3 100644 --- a/scripts/outpainting_mk_2.py +++ b/scripts/outpainting_mk_2.py @@ -11,46 +11,8 @@ from modules import images, processing, devices from modules.processing import Processed, process_images from modules.shared import opts, cmd_opts, state -# https://github.com/parlance-zz/g-diffuser-bot -def expand(x, dir, amount, power=0.75): - is_left = dir == 3 - is_right = dir == 1 - is_up = dir == 0 - is_down = dir == 2 - - if is_left or is_right: - noise = np.zeros((x.shape[0], amount, 3), dtype=float) - indexes = np.random.random((x.shape[0], amount)) ** power * (1 - np.arange(amount) / amount) - if is_right: - indexes = 1 - indexes - indexes = (indexes * (x.shape[1] - 1)).astype(int) - - for row in range(x.shape[0]): - if is_left: - noise[row] = x[row][indexes[row]] - else: - noise[row] = np.flip(x[row][indexes[row]], axis=0) - - x = np.concatenate([noise, x] if is_left else [x, noise], axis=1) - return x - - if is_up or is_down: - noise = np.zeros((amount, x.shape[1], 3), dtype=float) - indexes = np.random.random((x.shape[1], amount)) ** power * (1 - np.arange(amount) / amount) - if is_down: - indexes = 1 - indexes - indexes = (indexes * x.shape[0] - 1).astype(int) - - for row in range(x.shape[1]): - if is_up: - noise[:, row] = x[:, row][indexes[row]] - else: - noise[:, row] = np.flip(x[:, row][indexes[row]], axis=0) - - x = np.concatenate([noise, x] if is_up else [x, noise], axis=0) - return x - +# this function is taken from https://github.com/parlance-zz/g-diffuser-bot def get_matched_noise(_np_src_image, np_mask_rgb, noise_q=1, color_variation=0.05): # helper fft routines that keep ortho normalization and auto-shift before and after fft def _fft2(data): -- cgit v1.2.3 From 2ef69df9a7c7b6793401f29ced71fb8a781fad4c Mon Sep 17 00:00:00 2001 From: Jocke Date: Sun, 2 Oct 2022 16:10:41 +0200 Subject: Prevent upscaling when None is selected for SD upscale --- scripts/sd_upscale.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) (limited to 'scripts') diff --git a/scripts/sd_upscale.py b/scripts/sd_upscale.py index 2653e2d4..cb37ff7e 100644 --- a/scripts/sd_upscale.py +++ b/scripts/sd_upscale.py @@ -34,7 +34,11 @@ class Script(scripts.Script): seed = p.seed init_img = p.init_images[0] - img = upscaler.scaler.upscale(init_img, 2, upscaler.data_path) + + if(upscaler.name != "None"): + img = upscaler.scaler.upscale(init_img, 2, upscaler.data_path) + else: + img = init_img devices.torch_gc() -- cgit v1.2.3 From 1c5604791da7e57f40880698666b6617a1754c65 Mon Sep 17 00:00:00 2001 From: DoTheSneedful Date: Mon, 3 Oct 2022 22:20:09 -0400 Subject: Add a prompt order option to XY plot script --- scripts/xy_grid.py | 40 ++++++++++++++++++++++++++++++++++++++-- 1 file changed, 38 insertions(+), 2 deletions(-) (limited to 'scripts') diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index 146663b0..044c30e6 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -1,5 +1,6 @@ from collections import namedtuple from copy import copy +from itertools import permutations import random from PIL import Image @@ -28,6 +29,27 @@ def apply_prompt(p, x, xs): p.prompt = p.prompt.replace(xs[0], x) p.negative_prompt = p.negative_prompt.replace(xs[0], x) +def apply_order(p, x, xs): + token_order = [] + + # Initally grab the tokens from the prompt so they can be later be replaced in order of earliest seen in the prompt + for token in x: + token_order.append((p.prompt.find(token), token)) + + token_order.sort(key=lambda t: t[0]) + + search_from_pos = 0 + for idx, token in enumerate(x): + original_pos, old_token = token_order[idx] + + # Get position of the token again as it will likely change as tokens are being replaced + pos = p.prompt.find(old_token) + if original_pos >= 0: + # Avoid trying to replace what was just replaced by searching later in the prompt string + p.prompt = p.prompt[0:search_from_pos] + p.prompt[search_from_pos:].replace(old_token, token, 1) + + search_from_pos = pos + len(token) + samplers_dict = {} for i, sampler in enumerate(modules.sd_samplers.samplers): @@ -60,7 +82,8 @@ def format_value_add_label(p, opt, x): def format_value(p, opt, x): if type(x) == float: x = round(x, 8) - + if type(x) == type(list()): + x = str(x) return x def do_nothing(p, x, xs): @@ -89,6 +112,7 @@ axis_options = [ AxisOption("Sigma max", float, apply_field("s_tmax"), format_value_add_label), AxisOption("Sigma noise", float, apply_field("s_noise"), format_value_add_label), AxisOption("Eta", float, apply_field("eta"), format_value_add_label), + AxisOption("Prompt order", type(list()), apply_order, format_value), AxisOptionImg2Img("Denoising", float, apply_field("denoising_strength"), format_value_add_label), # as it is now all AxisOptionImg2Img items must go after AxisOption ones ] @@ -159,7 +183,11 @@ class Script(scripts.Script): if opt.label == 'Nothing': return [0] - valslist = [x.strip() for x in vals.split(",")] + if opt.type == type(list()): + valslist = [x for x in vals] + else: + valslist = [x.strip() for x in vals.split(",")] + if opt.type == int: valslist_ext = [] @@ -212,9 +240,17 @@ class Script(scripts.Script): return valslist x_opt = axis_options[x_type] + + if x_opt.label == "Prompt order": + x_values = list(permutations([x.strip() for x in x_values.split(",")])) + xs = process_axis(x_opt, x_values) y_opt = axis_options[y_type] + + if y_opt.label == "Prompt order": + y_values = list(permutations([y.strip() for y in y_values.split(",")])) + ys = process_axis(y_opt, y_values) def fix_axis_seeds(axis_opt, axis_list): -- cgit v1.2.3 From 1a6d40db35656083d5bf9d3a3430b45fda4e85eb Mon Sep 17 00:00:00 2001 From: DoTheSneedful Date: Tue, 4 Oct 2022 00:18:15 -0400 Subject: Fix token ordering in prompt order XY plot --- scripts/xy_grid.py | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) (limited to 'scripts') diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index 044c30e6..5bcd3921 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -32,24 +32,21 @@ def apply_prompt(p, x, xs): def apply_order(p, x, xs): token_order = [] - # Initally grab the tokens from the prompt so they can be later be replaced in order of earliest seen in the prompt + # Initally grab the tokens from the prompt so they can be be replaced in order of earliest seen for token in x: token_order.append((p.prompt.find(token), token)) token_order.sort(key=lambda t: t[0]) search_from_pos = 0 - for idx, token in enumerate(x): - original_pos, old_token = token_order[idx] - + for idx, (original_pos, old_token) in enumerate(token_order): # Get position of the token again as it will likely change as tokens are being replaced - pos = p.prompt.find(old_token) + pos = search_from_pos + p.prompt[search_from_pos:].find(old_token) if original_pos >= 0: # Avoid trying to replace what was just replaced by searching later in the prompt string - p.prompt = p.prompt[0:search_from_pos] + p.prompt[search_from_pos:].replace(old_token, token, 1) - - search_from_pos = pos + len(token) + p.prompt = p.prompt[0:search_from_pos] + p.prompt[search_from_pos:].replace(old_token, x[idx], 1) + search_from_pos = pos + len(x[idx]) samplers_dict = {} for i, sampler in enumerate(modules.sd_samplers.samplers): -- cgit v1.2.3 From 56371153b545e3a43c3a5f206264019af361f3af Mon Sep 17 00:00:00 2001 From: DoTheSneedful Date: Tue, 4 Oct 2022 01:07:36 -0400 Subject: XY plot prompt order simplify logic --- scripts/xy_grid.py | 24 +++++++++++++++--------- 1 file changed, 15 insertions(+), 9 deletions(-) (limited to 'scripts') diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index 5bcd3921..7def47f5 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -38,15 +38,21 @@ def apply_order(p, x, xs): token_order.sort(key=lambda t: t[0]) - search_from_pos = 0 - for idx, (original_pos, old_token) in enumerate(token_order): - # Get position of the token again as it will likely change as tokens are being replaced - pos = search_from_pos + p.prompt[search_from_pos:].find(old_token) - if original_pos >= 0: - # Avoid trying to replace what was just replaced by searching later in the prompt string - p.prompt = p.prompt[0:search_from_pos] + p.prompt[search_from_pos:].replace(old_token, x[idx], 1) - - search_from_pos = pos + len(x[idx]) + prompt_parts = [] + + # Split the prompt up, taking out the tokens + for _, token in token_order: + n = p.prompt.find(token) + prompt_parts.append(p.prompt[0:n]) + p.prompt = p.prompt[n + len(token):] + + # Rebuild the prompt with the tokens in the order we want + prompt_tmp = "" + for idx, part in enumerate(prompt_parts): + prompt_tmp += part + prompt_tmp += x[idx] + p.prompt = prompt_tmp + p.prompt + samplers_dict = {} for i, sampler in enumerate(modules.sd_samplers.samplers): -- cgit v1.2.3 From 556c36b9607e3f4eacdddc85f8e7a78b29476ea7 Mon Sep 17 00:00:00 2001 From: AUTOMATIC <16777216c@gmail.com> Date: Tue, 4 Oct 2022 09:18:00 +0300 Subject: add hint, refactor code for #1607 --- javascript/hints.js | 1 + scripts/xy_grid.py | 35 ++++++++++++++++++----------------- 2 files changed, 19 insertions(+), 17 deletions(-) (limited to 'scripts') diff --git a/javascript/hints.js b/javascript/hints.js index e72e9338..8adcd983 100644 --- a/javascript/hints.js +++ b/javascript/hints.js @@ -47,6 +47,7 @@ titles = { "Custom code": "Run Python code. Advanced user only. Must run program with --allow-code for this to work", "Prompt S/R": "Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others", + "Prompt order": "Separate a list of words with commas, and the script will make a variation of prompt with those words for their every possible order", "Tiling": "Produce an image that can be tiled.", "Tile overlap": "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.", diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index 7def47f5..1237e754 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -29,10 +29,11 @@ def apply_prompt(p, x, xs): p.prompt = p.prompt.replace(xs[0], x) p.negative_prompt = p.negative_prompt.replace(xs[0], x) + def apply_order(p, x, xs): token_order = [] - # Initally grab the tokens from the prompt so they can be be replaced in order of earliest seen + # Initally grab the tokens from the prompt, so they can be replaced in order of earliest seen for token in x: token_order.append((p.prompt.find(token), token)) @@ -85,17 +86,26 @@ def format_value_add_label(p, opt, x): def format_value(p, opt, x): if type(x) == float: x = round(x, 8) - if type(x) == type(list()): - x = str(x) return x + +def format_value_join_list(p, opt, x): + return ", ".join(x) + + def do_nothing(p, x, xs): pass + def format_nothing(p, opt, x): return "" +def str_permutations(x): + """dummy function for specifying it in AxisOption's type when you want to get a list of permutations""" + return x + + AxisOption = namedtuple("AxisOption", ["label", "type", "apply", "format_value"]) AxisOptionImg2Img = namedtuple("AxisOptionImg2Img", ["label", "type", "apply", "format_value"]) @@ -108,6 +118,7 @@ axis_options = [ AxisOption("Steps", int, apply_field("steps"), format_value_add_label), AxisOption("CFG Scale", float, apply_field("cfg_scale"), format_value_add_label), AxisOption("Prompt S/R", str, apply_prompt, format_value), + AxisOption("Prompt order", str_permutations, apply_order, format_value_join_list), AxisOption("Sampler", str, apply_sampler, format_value), AxisOption("Checkpoint name", str, apply_checkpoint, format_value), AxisOption("Sigma Churn", float, apply_field("s_churn"), format_value_add_label), @@ -115,7 +126,6 @@ axis_options = [ AxisOption("Sigma max", float, apply_field("s_tmax"), format_value_add_label), AxisOption("Sigma noise", float, apply_field("s_noise"), format_value_add_label), AxisOption("Eta", float, apply_field("eta"), format_value_add_label), - AxisOption("Prompt order", type(list()), apply_order, format_value), AxisOptionImg2Img("Denoising", float, apply_field("denoising_strength"), format_value_add_label), # as it is now all AxisOptionImg2Img items must go after AxisOption ones ] @@ -158,6 +168,7 @@ re_range_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d re_range_count = re.compile(r"\s*([+-]?\s*\d+)\s*-\s*([+-]?\s*\d+)(?:\s*\[(\d+)\s*\])?\s*") re_range_count_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d*)?)(?:\s*\[(\d+(?:.\d*)?)\s*\])?\s*") + class Script(scripts.Script): def title(self): return "X/Y plot" @@ -186,11 +197,7 @@ class Script(scripts.Script): if opt.label == 'Nothing': return [0] - if opt.type == type(list()): - valslist = [x for x in vals] - else: - valslist = [x.strip() for x in vals.split(",")] - + valslist = [x.strip() for x in vals.split(",")] if opt.type == int: valslist_ext = [] @@ -237,23 +244,17 @@ class Script(scripts.Script): valslist_ext.append(val) valslist = valslist_ext + elif opt.type == str_permutations: + valslist = list(permutations(valslist)) valslist = [opt.type(x) for x in valslist] return valslist x_opt = axis_options[x_type] - - if x_opt.label == "Prompt order": - x_values = list(permutations([x.strip() for x in x_values.split(",")])) - xs = process_axis(x_opt, x_values) y_opt = axis_options[y_type] - - if y_opt.label == "Prompt order": - y_values = list(permutations([y.strip() for y in y_values.split(",")])) - ys = process_axis(y_opt, y_values) def fix_axis_seeds(axis_opt, axis_list): -- cgit v1.2.3 From a93c3ffbfd264ed6b5d989922352300c9d3efbe4 Mon Sep 17 00:00:00 2001 From: Jocke Date: Wed, 5 Oct 2022 16:31:48 +0200 Subject: Outpainting mk2, prevent generation of a completely random image every time even when global seed is static --- scripts/outpainting_mk_2.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) (limited to 'scripts') diff --git a/scripts/outpainting_mk_2.py b/scripts/outpainting_mk_2.py index 11613ca3..a6468e09 100644 --- a/scripts/outpainting_mk_2.py +++ b/scripts/outpainting_mk_2.py @@ -85,8 +85,11 @@ def get_matched_noise(_np_src_image, np_mask_rgb, noise_q=1, color_variation=0.0 src_dist = np.absolute(src_fft) src_phase = src_fft / src_dist + # create a generator with a static seed to make outpainting deterministic / only follow global seed + rng = np.random.default_rng(0) + noise_window = _get_gaussian_window(width, height, mode=1) # start with simple gaussian noise - noise_rgb = np.random.random_sample((width, height, num_channels)) + noise_rgb = rng.random((width, height, num_channels)) noise_grey = (np.sum(noise_rgb, axis=2) / 3.) noise_rgb *= color_variation # the colorfulness of the starting noise is blended to greyscale with a parameter for c in range(num_channels): -- cgit v1.2.3 From c1a068ed0acc788774afc1541ca69342fd1d94ad Mon Sep 17 00:00:00 2001 From: C43H66N12O12S2 <36072735+C43H66N12O12S2@users.noreply.github.com> Date: Mon, 3 Oct 2022 12:49:17 +0300 Subject: Create alternate_sampler_noise_schedules.py --- scripts/alternate_sampler_noise_schedules.py | 53 ++++++++++++++++++++++++++++ 1 file changed, 53 insertions(+) create mode 100644 scripts/alternate_sampler_noise_schedules.py (limited to 'scripts') diff --git a/scripts/alternate_sampler_noise_schedules.py b/scripts/alternate_sampler_noise_schedules.py new file mode 100644 index 00000000..4f3ed8fb --- /dev/null +++ b/scripts/alternate_sampler_noise_schedules.py @@ -0,0 +1,53 @@ +import inspect +from modules.processing import Processed, process_images +import gradio as gr +import modules.scripts as scripts +import k_diffusion.sampling +import torch + + +class Script(scripts.Script): + + def title(self): + return "Alternate Sampler Noise Schedules" + + def ui(self, is_img2img): + noise_scheduler = gr.Dropdown(label="Noise Scheduler", choices=['Default','Karras','Exponential', 'Variance Preserving'], value='Default', type="index") + sched_smin = gr.Slider(value=0.1, label="Sigma min", minimum=0.0, maximum=100.0, step=0.5,) + sched_smax = gr.Slider(value=10.0, label="Sigma max", minimum=0.0, maximum=100.0, step=0.5) + sched_rho = gr.Slider(value=7.0, label="Sigma rho (Karras only)", minimum=7.0, maximum=100.0, step=0.5) + sched_beta_d = gr.Slider(value=19.9, label="Beta distribution (VP only)",minimum=0.0, maximum=40.0, step=0.5) + sched_beta_min = gr.Slider(value=0.1, label="Beta min (VP only)", minimum=0.0, maximum=40.0, step=0.1) + sched_eps_s = gr.Slider(value=0.001, label="Epsilon (VP only)", minimum=0.001, maximum=1.0, step=0.001) + + return [noise_scheduler, sched_smin, sched_smax, sched_rho, sched_beta_d, sched_beta_min, sched_eps_s] + + def run(self, p, noise_scheduler, sched_smin, sched_smax, sched_rho, sched_beta_d, sched_beta_min, sched_eps_s): + + noise_scheduler_func_name = ['-','get_sigmas_karras','get_sigmas_exponential','get_sigmas_vp'][noise_scheduler] + + base_params = { + "sigma_min":sched_smin, + "sigma_max":sched_smax, + "rho":sched_rho, + "beta_d":sched_beta_d, + "beta_min":sched_beta_min, + "eps_s":sched_eps_s, + "device":"cuda" if torch.cuda.is_available() else "cpu" + } + + if hasattr(k_diffusion.sampling,noise_scheduler_func_name): + + sigma_func = getattr(k_diffusion.sampling,noise_scheduler_func_name) + sigma_func_kwargs = {} + + for k,v in base_params.items(): + if k in inspect.signature(sigma_func).parameters: + sigma_func_kwargs[k] = v + + def substitute_noise_scheduler(n): + return sigma_func(n,**sigma_func_kwargs) + + p.sampler_noise_scheduler_override = substitute_noise_scheduler + + return process_images(p) -- cgit v1.2.3 From 5993df24a1026225cb8af89237547c1d9101ce69 Mon Sep 17 00:00:00 2001 From: AUTOMATIC <16777216c@gmail.com> Date: Thu, 6 Oct 2022 14:12:52 +0300 Subject: integrate the new samplers PR --- modules/processing.py | 7 ++-- modules/sd_samplers.py | 59 +++++++++++++++------------- modules/shared.py | 1 - scripts/alternate_sampler_noise_schedules.py | 53 ------------------------- scripts/img2imgalt.py | 3 +- 5 files changed, 36 insertions(+), 87 deletions(-) delete mode 100644 scripts/alternate_sampler_noise_schedules.py (limited to 'scripts') diff --git a/modules/processing.py b/modules/processing.py index e01c8b3f..e567956c 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -477,7 +477,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): self.firstphase_height_truncated = int(scale * self.height) def sample(self, conditioning, unconditional_conditioning, seeds, subseeds, subseed_strength): - self.sampler = sd_samplers.samplers[self.sampler_index].constructor(self.sd_model) + self.sampler = sd_samplers.create_sampler_with_index(sd_samplers.samplers, self.sampler_index, self.sd_model) if not self.enable_hr: x = create_random_tensors([opt_C, self.height // opt_f, self.width // opt_f], seeds=seeds, subseeds=subseeds, subseed_strength=self.subseed_strength, seed_resize_from_h=self.seed_resize_from_h, seed_resize_from_w=self.seed_resize_from_w, p=self) @@ -520,7 +520,8 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): shared.state.nextjob() - self.sampler = sd_samplers.samplers[self.sampler_index].constructor(self.sd_model) + self.sampler = sd_samplers.create_sampler_with_index(sd_samplers.samplers, self.sampler_index, self.sd_model) + noise = create_random_tensors(samples.shape[1:], seeds=seeds, subseeds=subseeds, subseed_strength=subseed_strength, seed_resize_from_h=self.seed_resize_from_h, seed_resize_from_w=self.seed_resize_from_w, p=self) # GC now before running the next img2img to prevent running out of memory @@ -555,7 +556,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): self.nmask = None def init(self, all_prompts, all_seeds, all_subseeds): - self.sampler = sd_samplers.samplers_for_img2img[self.sampler_index].constructor(self.sd_model) + self.sampler = sd_samplers.create_sampler_with_index(sd_samplers.samplers_for_img2img, self.sampler_index, self.sd_model) crop_region = None if self.image_mask is not None: diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py index 8d6eb762..497df943 100644 --- a/modules/sd_samplers.py +++ b/modules/sd_samplers.py @@ -13,46 +13,46 @@ from modules.shared import opts, cmd_opts, state import modules.shared as shared -SamplerData = namedtuple('SamplerData', ['name', 'constructor', 'aliases']) +SamplerData = namedtuple('SamplerData', ['name', 'constructor', 'aliases', 'options']) samplers_k_diffusion = [ - ('Euler a', 'sample_euler_ancestral', ['k_euler_a']), - ('Euler', 'sample_euler', ['k_euler']), - ('LMS', 'sample_lms', ['k_lms']), - ('Heun', 'sample_heun', ['k_heun']), - ('DPM2', 'sample_dpm_2', ['k_dpm_2']), - ('DPM2 a', 'sample_dpm_2_ancestral', ['k_dpm_2_a']), - ('DPM fast', 'sample_dpm_fast', ['k_dpm_fast']), - ('DPM adaptive', 'sample_dpm_adaptive', ['k_dpm_ad']), + ('Euler a', 'sample_euler_ancestral', ['k_euler_a'], {}), + ('Euler', 'sample_euler', ['k_euler'], {}), + ('LMS', 'sample_lms', ['k_lms'], {}), + ('Heun', 'sample_heun', ['k_heun'], {}), + ('DPM2', 'sample_dpm_2', ['k_dpm_2'], {}), + ('DPM2 a', 'sample_dpm_2_ancestral', ['k_dpm_2_a'], {}), + ('DPM fast', 'sample_dpm_fast', ['k_dpm_fast'], {}), + ('DPM adaptive', 'sample_dpm_adaptive', ['k_dpm_ad'], {}), + ('LMS Karras', 'sample_lms', ['k_lms_ka'], {'scheduler': 'karras'}), + ('DPM2 Karras', 'sample_dpm_2', ['k_dpm_2_ka'], {'scheduler': 'karras'}), + ('DPM2 a Karras', 'sample_dpm_2_ancestral', ['k_dpm_2_a_ka'], {'scheduler': 'karras'}), ] -if opts.show_karras_scheduler_variants: - k_diffusion.sampling.sample_dpm_2_ka = k_diffusion.sampling.sample_dpm_2 - k_diffusion.sampling.sample_dpm_2_ancestral_ka = k_diffusion.sampling.sample_dpm_2_ancestral - k_diffusion.sampling.sample_lms_ka = k_diffusion.sampling.sample_lms - samplers_k_diffusion_ka = [ - ('LMS K Scheduling', 'sample_lms_ka', ['k_lms_ka']), - ('DPM2 K Scheduling', 'sample_dpm_2_ka', ['k_dpm_2_ka']), - ('DPM2 a K Scheduling', 'sample_dpm_2_ancestral_ka', ['k_dpm_2_a_ka']), - ] - samplers_k_diffusion.extend(samplers_k_diffusion_ka) - samplers_data_k_diffusion = [ - SamplerData(label, lambda model, funcname=funcname: KDiffusionSampler(funcname, model), aliases) - for label, funcname, aliases in samplers_k_diffusion + SamplerData(label, lambda model, funcname=funcname: KDiffusionSampler(funcname, model), aliases, options) + for label, funcname, aliases, options in samplers_k_diffusion if hasattr(k_diffusion.sampling, funcname) ] all_samplers = [ *samplers_data_k_diffusion, - SamplerData('DDIM', lambda model: VanillaStableDiffusionSampler(ldm.models.diffusion.ddim.DDIMSampler, model), []), - SamplerData('PLMS', lambda model: VanillaStableDiffusionSampler(ldm.models.diffusion.plms.PLMSSampler, model), []), + SamplerData('DDIM', lambda model: VanillaStableDiffusionSampler(ldm.models.diffusion.ddim.DDIMSampler, model), [], {}), + SamplerData('PLMS', lambda model: VanillaStableDiffusionSampler(ldm.models.diffusion.plms.PLMSSampler, model), [], {}), ] samplers = [] samplers_for_img2img = [] +def create_sampler_with_index(list_of_configs, index, model): + config = list_of_configs[index] + sampler = config.constructor(model) + sampler.config = config + + return sampler + + def set_samplers(): global samplers, samplers_for_img2img @@ -130,6 +130,7 @@ class VanillaStableDiffusionSampler: self.step = 0 self.eta = None self.default_eta = 0.0 + self.config = None def number_of_needed_noises(self, p): return 0 @@ -291,6 +292,7 @@ class KDiffusionSampler: self.stop_at = None self.eta = None self.default_eta = 1.0 + self.config = None def callback_state(self, d): store_latent(d["denoised"]) @@ -355,11 +357,12 @@ class KDiffusionSampler: steps = steps or p.steps if p.sampler_noise_scheduler_override: - sigmas = p.sampler_noise_scheduler_override(steps) - elif self.funcname.endswith('ka'): - sigmas = k_diffusion.sampling.get_sigmas_karras(n=steps, sigma_min=0.1, sigma_max=10, device=shared.device) + sigmas = p.sampler_noise_scheduler_override(steps) + elif self.config is not None and self.config.options.get('scheduler', None) == 'karras': + sigmas = k_diffusion.sampling.get_sigmas_karras(n=steps, sigma_min=0.1, sigma_max=10, device=shared.device) else: - sigmas = self.model_wrap.get_sigmas(steps) + sigmas = self.model_wrap.get_sigmas(steps) + x = x * sigmas[0] extra_params_kwargs = self.initialize(p) diff --git a/modules/shared.py b/modules/shared.py index 9e4860a2..ca2e4c74 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -236,7 +236,6 @@ options_templates.update(options_section(('ui', "User interface"), { "font": OptionInfo("", "Font for image grids that have text"), "js_modal_lightbox": OptionInfo(True, "Enable full page image viewer"), "js_modal_lightbox_initialy_zoomed": OptionInfo(True, "Show images zoomed in by default in full page image viewer"), - "show_karras_scheduler_variants": OptionInfo(True, "Show Karras scheduling variants for select samplers. Try these variants if your K sampled images suffer from excessive noise."), })) options_templates.update(options_section(('sampler-params', "Sampler parameters"), { diff --git a/scripts/alternate_sampler_noise_schedules.py b/scripts/alternate_sampler_noise_schedules.py deleted file mode 100644 index 4f3ed8fb..00000000 --- a/scripts/alternate_sampler_noise_schedules.py +++ /dev/null @@ -1,53 +0,0 @@ -import inspect -from modules.processing import Processed, process_images -import gradio as gr -import modules.scripts as scripts -import k_diffusion.sampling -import torch - - -class Script(scripts.Script): - - def title(self): - return "Alternate Sampler Noise Schedules" - - def ui(self, is_img2img): - noise_scheduler = gr.Dropdown(label="Noise Scheduler", choices=['Default','Karras','Exponential', 'Variance Preserving'], value='Default', type="index") - sched_smin = gr.Slider(value=0.1, label="Sigma min", minimum=0.0, maximum=100.0, step=0.5,) - sched_smax = gr.Slider(value=10.0, label="Sigma max", minimum=0.0, maximum=100.0, step=0.5) - sched_rho = gr.Slider(value=7.0, label="Sigma rho (Karras only)", minimum=7.0, maximum=100.0, step=0.5) - sched_beta_d = gr.Slider(value=19.9, label="Beta distribution (VP only)",minimum=0.0, maximum=40.0, step=0.5) - sched_beta_min = gr.Slider(value=0.1, label="Beta min (VP only)", minimum=0.0, maximum=40.0, step=0.1) - sched_eps_s = gr.Slider(value=0.001, label="Epsilon (VP only)", minimum=0.001, maximum=1.0, step=0.001) - - return [noise_scheduler, sched_smin, sched_smax, sched_rho, sched_beta_d, sched_beta_min, sched_eps_s] - - def run(self, p, noise_scheduler, sched_smin, sched_smax, sched_rho, sched_beta_d, sched_beta_min, sched_eps_s): - - noise_scheduler_func_name = ['-','get_sigmas_karras','get_sigmas_exponential','get_sigmas_vp'][noise_scheduler] - - base_params = { - "sigma_min":sched_smin, - "sigma_max":sched_smax, - "rho":sched_rho, - "beta_d":sched_beta_d, - "beta_min":sched_beta_min, - "eps_s":sched_eps_s, - "device":"cuda" if torch.cuda.is_available() else "cpu" - } - - if hasattr(k_diffusion.sampling,noise_scheduler_func_name): - - sigma_func = getattr(k_diffusion.sampling,noise_scheduler_func_name) - sigma_func_kwargs = {} - - for k,v in base_params.items(): - if k in inspect.signature(sigma_func).parameters: - sigma_func_kwargs[k] = v - - def substitute_noise_scheduler(n): - return sigma_func(n,**sigma_func_kwargs) - - p.sampler_noise_scheduler_override = substitute_noise_scheduler - - return process_images(p) diff --git a/scripts/img2imgalt.py b/scripts/img2imgalt.py index 0ef137f7..f9894cb0 100644 --- a/scripts/img2imgalt.py +++ b/scripts/img2imgalt.py @@ -8,7 +8,6 @@ import gradio as gr from modules import processing, shared, sd_samplers, prompt_parser from modules.processing import Processed -from modules.sd_samplers import samplers from modules.shared import opts, cmd_opts, state import torch @@ -159,7 +158,7 @@ class Script(scripts.Script): combined_noise = ((1 - randomness) * rec_noise + randomness * rand_noise) / ((randomness**2 + (1-randomness)**2) ** 0.5) - sampler = samplers[p.sampler_index].constructor(p.sd_model) + sampler = sd_samplers.create_sampler_with_index(sd_samplers.samplers, p.sampler_index, p.sd_model) sigmas = sampler.model_wrap.get_sigmas(p.steps) -- cgit v1.2.3 From 5d0e6ab8567bda2ee8f5ed31f332ca07c1b84b98 Mon Sep 17 00:00:00 2001 From: DepFA <35278260+dfaker@users.noreply.github.com> Date: Thu, 6 Oct 2022 04:04:50 +0100 Subject: Allow escaping of commas in xy_grid --- scripts/xy_grid.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) (limited to 'scripts') diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index 1237e754..210829a7 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -168,6 +168,7 @@ re_range_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d re_range_count = re.compile(r"\s*([+-]?\s*\d+)\s*-\s*([+-]?\s*\d+)(?:\s*\[(\d+)\s*\])?\s*") re_range_count_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d*)?)(?:\s*\[(\d+(?:.\d*)?)\s*\])?\s*") +re_non_escaped_comma = re.compile(r"(? Date: Thu, 6 Oct 2022 11:55:21 +0100 Subject: use csv.reader --- scripts/xy_grid.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) (limited to 'scripts') diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index 210829a7..1a625898 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -1,8 +1,9 @@ from collections import namedtuple from copy import copy -from itertools import permutations +from itertools import permutations, chain import random - +import csv +from io import StringIO from PIL import Image import numpy as np @@ -168,8 +169,6 @@ re_range_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d re_range_count = re.compile(r"\s*([+-]?\s*\d+)\s*-\s*([+-]?\s*\d+)(?:\s*\[(\d+)\s*\])?\s*") re_range_count_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d*)?)(?:\s*\[(\d+(?:.\d*)?)\s*\])?\s*") -re_non_escaped_comma = re.compile(r"(? Date: Thu, 6 Oct 2022 12:32:17 +0100 Subject: strip() split comma delimited lines --- scripts/xy_grid.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'scripts') diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index 1a625898..ec27e58b 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -197,7 +197,7 @@ class Script(scripts.Script): if opt.label == 'Nothing': return [0] - valslist = list(chain.from_iterable(csv.reader(StringIO(s)))) + valslist = list(map(str.strip,chain.from_iterable(csv.reader(StringIO(s))))) if opt.type == int: valslist_ext = [] -- cgit v1.2.3 From 82eb8ea452b1e63535c58d15ec6db2ad2342faa8 Mon Sep 17 00:00:00 2001 From: DepFA <35278260+dfaker@users.noreply.github.com> Date: Thu, 6 Oct 2022 15:22:51 +0100 Subject: Update xy_grid.py split vals not 's' from tests --- scripts/xy_grid.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'scripts') diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index ec27e58b..210c7b6e 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -197,7 +197,7 @@ class Script(scripts.Script): if opt.label == 'Nothing': return [0] - valslist = list(map(str.strip,chain.from_iterable(csv.reader(StringIO(s))))) + valslist = list(map(str.strip,chain.from_iterable(csv.reader(StringIO(vals))))) if opt.type == int: valslist_ext = [] -- cgit v1.2.3 From 1069ec49a35d04c1e85c92534e92a2d6aa59cb75 Mon Sep 17 00:00:00 2001 From: AUTOMATIC <16777216c@gmail.com> Date: Thu, 6 Oct 2022 20:16:21 +0300 Subject: revert back to using list comprehension rather than list and map --- scripts/xy_grid.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'scripts') diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index 210c7b6e..6344e612 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -197,7 +197,7 @@ class Script(scripts.Script): if opt.label == 'Nothing': return [0] - valslist = list(map(str.strip,chain.from_iterable(csv.reader(StringIO(vals))))) + valslist = [x.strip() for x in chain.from_iterable(csv.reader(StringIO(vals)))] if opt.type == int: valslist_ext = [] -- cgit v1.2.3