From 7613ea12f267143ceb70a9aeb45eb20aca086e3e Mon Sep 17 00:00:00 2001 From: random_thoughtss Date: Fri, 21 Oct 2022 11:32:56 -0700 Subject: Fixed img2imgalt after inpainting update --- scripts/img2imgalt.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) (limited to 'scripts') diff --git a/scripts/img2imgalt.py b/scripts/img2imgalt.py index d438175c..88abc093 100644 --- a/scripts/img2imgalt.py +++ b/scripts/img2imgalt.py @@ -34,6 +34,9 @@ def find_noise_for_image(p, cond, uncond, cfg_scale, steps): sigma_in = torch.cat([sigmas[i] * s_in] * 2) cond_in = torch.cat([uncond, cond]) + image_conditioning = torch.cat([p.image_conditioning] * 2) + cond_in = {"c_concat": [image_conditioning], "c_crossattn": [cond_in]} + c_out, c_in = [K.utils.append_dims(k, x_in.ndim) for k in dnw.get_scalings(sigma_in)] t = dnw.sigma_to_t(sigma_in) @@ -78,6 +81,9 @@ def find_noise_for_image_sigma_adjustment(p, cond, uncond, cfg_scale, steps): sigma_in = torch.cat([sigmas[i - 1] * s_in] * 2) cond_in = torch.cat([uncond, cond]) + image_conditioning = torch.cat([p.image_conditioning] * 2) + cond_in = {"c_concat": [image_conditioning], "c_crossattn": [cond_in]} + c_out, c_in = [K.utils.append_dims(k, x_in.ndim) for k in dnw.get_scalings(sigma_in)] if i == 1: @@ -194,7 +200,7 @@ class Script(scripts.Script): p.seed = p.seed + 1 - return sampler.sample_img2img(p, p.init_latent, noise_dt, conditioning, unconditional_conditioning) + return sampler.sample_img2img(p, p.init_latent, noise_dt, conditioning, unconditional_conditioning, image_conditioning=p.image_conditioning) p.sample = sample_extra -- cgit v1.2.3 From 605d27687f433c0fefb9025aace7dc94f0ebd454 Mon Sep 17 00:00:00 2001 From: random_thoughtss Date: Tue, 25 Oct 2022 12:20:54 -0700 Subject: Added conditioning image masking to xy_grid. Use `True` and `False` to select values. --- scripts/xy_grid.py | 3 +++ 1 file changed, 3 insertions(+) (limited to 'scripts') diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index eff0c942..0843adcc 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -153,6 +153,8 @@ def str_permutations(x): """dummy function for specifying it in AxisOption's type when you want to get a list of permutations""" return x +def str_to_bool(x): + return "true" in x.lower().strip() AxisOption = namedtuple("AxisOption", ["label", "type", "apply", "format_value", "confirm"]) AxisOptionImg2Img = namedtuple("AxisOptionImg2Img", ["label", "type", "apply", "format_value", "confirm"]) @@ -178,6 +180,7 @@ axis_options = [ AxisOption("Eta", float, apply_field("eta"), format_value_add_label, None), AxisOption("Clip skip", int, apply_clip_skip, format_value_add_label, None), AxisOption("Denoising", float, apply_field("denoising_strength"), format_value_add_label, None), + AxisOption("Mask Conditioning Image", str_to_bool, apply_field("inpainting_mask_image"), format_value_add_label, None), ] -- cgit v1.2.3 From 8b4f32779f28010fc8077e8fcfb85a3205b36bc2 Mon Sep 17 00:00:00 2001 From: random_thoughtss Date: Tue, 25 Oct 2022 13:15:08 -0700 Subject: Switch to a continous blend for cond. image. --- scripts/xy_grid.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) (limited to 'scripts') diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index 0843adcc..f5255786 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -153,9 +153,6 @@ def str_permutations(x): """dummy function for specifying it in AxisOption's type when you want to get a list of permutations""" return x -def str_to_bool(x): - return "true" in x.lower().strip() - AxisOption = namedtuple("AxisOption", ["label", "type", "apply", "format_value", "confirm"]) AxisOptionImg2Img = namedtuple("AxisOptionImg2Img", ["label", "type", "apply", "format_value", "confirm"]) @@ -180,7 +177,7 @@ axis_options = [ AxisOption("Eta", float, apply_field("eta"), format_value_add_label, None), AxisOption("Clip skip", int, apply_clip_skip, format_value_add_label, None), AxisOption("Denoising", float, apply_field("denoising_strength"), format_value_add_label, None), - AxisOption("Mask Conditioning Image", str_to_bool, apply_field("inpainting_mask_image"), format_value_add_label, None), + AxisOption("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight"), format_value_add_label, None), ] -- cgit v1.2.3 From 99d728b5b18829c8a6b7b2d69c9b9327dd257896 Mon Sep 17 00:00:00 2001 From: Tony Beeman Date: Sun, 23 Oct 2022 23:16:47 -0700 Subject: Add Iterate Button and Improve PFF UI --- scripts/prompts_from_file.py | 54 ++++++++++++++++++++++++++------------------ 1 file changed, 32 insertions(+), 22 deletions(-) (limited to 'scripts') diff --git a/scripts/prompts_from_file.py b/scripts/prompts_from_file.py index 1266be6f..1be22960 100644 --- a/scripts/prompts_from_file.py +++ b/scripts/prompts_from_file.py @@ -1,6 +1,7 @@ import copy import math import os +import random import sys import traceback import shlex @@ -81,32 +82,34 @@ def cmdargs(line): return res +def load_prompt_file(file): + if (file is None): + lines = [] + else: + lines = [x.strip() for x in file.decode('utf8', errors='ignore').split("\n")] + + return None, "\n".join(lines), gr.update(lines=7) + class Script(scripts.Script): def title(self): return "Prompts from file or textbox" def ui(self, is_img2img): - # This checkbox would look nicer as two tabs, but there are two problems: - # 1) There is a bug in Gradio 3.3 that prevents visibility from working on Tabs - # 2) Even with Gradio 3.3.1, returning a control (like Tabs) that can't be used as input - # causes a AttributeError: 'Tabs' object has no attribute 'preprocess' assert, - # due to the way Script assumes all controls returned can be used as inputs. - # Therefore, there's no good way to use grouping components right now, - # so we will use a checkbox! :) - checkbox_txt = gr.Checkbox(label="Show Textbox", value=False) - file = gr.File(label="File with inputs", type='bytes') - prompt_txt = gr.TextArea(label="Prompts") - checkbox_txt.change(fn=lambda x: [gr.File.update(visible = not x), gr.TextArea.update(visible = x)], inputs=[checkbox_txt], outputs=[file, prompt_txt]) - return [checkbox_txt, file, prompt_txt] - - def on_show(self, checkbox_txt, file, prompt_txt): - return [ gr.Checkbox.update(visible = True), gr.File.update(visible = not checkbox_txt), gr.TextArea.update(visible = checkbox_txt) ] - - def run(self, p, checkbox_txt, data: bytes, prompt_txt: str): - if checkbox_txt: - lines = [x.strip() for x in prompt_txt.splitlines()] - else: - lines = [x.strip() for x in data.decode('utf8', errors='ignore').split("\n")] + checkbox_iterate = gr.Checkbox(label="Iterate seed every line", value=False) + + prompt_txt = gr.Textbox(label="List of prompt inputs", lines=1) + file = gr.File(label="Upload prompt inputs", type='bytes') + + file.change(fn=load_prompt_file, inputs=[file], outputs=[file, prompt_txt, prompt_txt]) + + # We start at one line. When the text changes, we jump to seven lines, or two lines if no \n. + # We don't shrink back to 1, because that causes the control to ignore [enter], and it may + # be unclear to the user that shift-enter is needed. + prompt_txt.change(lambda tb: gr.update(lines=7) if ("\n" in tb) else gr.update(lines=2), inputs=[prompt_txt], outputs=[prompt_txt]) + return [checkbox_iterate, file, prompt_txt] + + def run(self, p, checkbox_iterate, file, prompt_txt: str): + lines = [x.strip() for x in prompt_txt.splitlines()] lines = [x for x in lines if len(x) > 0] p.do_not_save_grid = True @@ -134,6 +137,9 @@ class Script(scripts.Script): jobs.append(args) print(f"Will process {len(lines)} lines in {job_count} jobs.") + if (checkbox_iterate and p.seed == -1): + p.seed = int(random.randrange(4294967294)) + state.job_count = job_count images = [] @@ -146,5 +152,9 @@ class Script(scripts.Script): proc = process_images(copy_p) images += proc.images + + if (checkbox_iterate): + p.seed = p.seed + (p.batch_size * p.n_iter) + - return Processed(p, images, p.seed, "") + return Processed(p, images, p.seed, "") \ No newline at end of file -- cgit v1.2.3