From 7dd23973f7e7e3b116ce1a2ba427d409914bd921 Mon Sep 17 00:00:00 2001 From: Vladimir Repin <32306715+mezotaken@users.noreply.github.com> Date: Mon, 6 Feb 2023 00:28:31 +0300 Subject: Optionally append interrogated prompt in loopback script --- scripts/loopback.py | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) (limited to 'scripts') diff --git a/scripts/loopback.py b/scripts/loopback.py index 1dab9476..ec1f85e5 100644 --- a/scripts/loopback.py +++ b/scripts/loopback.py @@ -8,6 +8,7 @@ from modules import processing, shared, sd_samplers, images from modules.processing import Processed from modules.sd_samplers import samplers from modules.shared import opts, cmd_opts, state +from modules import deepbooru class Script(scripts.Script): @@ -20,10 +21,11 @@ class Script(scripts.Script): def ui(self, is_img2img): loops = gr.Slider(minimum=1, maximum=32, step=1, label='Loops', value=4, elem_id=self.elem_id("loops")) denoising_strength_change_factor = gr.Slider(minimum=0.9, maximum=1.1, step=0.01, label='Denoising strength change factor', value=1, elem_id=self.elem_id("denoising_strength_change_factor")) + append_interrogation = gr.Dropdown(label="Append interrogated prompt at each iteration", choices=["None", "CLIP", "DeepBooru"], value="None") - return [loops, denoising_strength_change_factor] + return [loops, denoising_strength_change_factor, append_interrogation] - def run(self, p, loops, denoising_strength_change_factor): + def run(self, p, loops, denoising_strength_change_factor, append_interrogation): processing.fix_seed(p) batch_count = p.n_iter p.extra_generation_params = { @@ -40,6 +42,7 @@ class Script(scripts.Script): grids = [] all_images = [] original_init_image = p.init_images + original_prompt = p.prompt state.job_count = loops * batch_count initial_color_corrections = [processing.setup_color_correction(p.init_images[0])] @@ -58,6 +61,13 @@ class Script(scripts.Script): if opts.img2img_color_correction: p.color_corrections = initial_color_corrections + if append_interrogation != "None": + p.prompt = original_prompt + ", " if original_prompt != "" else "" + if append_interrogation == "CLIP": + p.prompt += shared.interrogator.interrogate(p.init_images[0]) + elif append_interrogation == "DeepBooru": + p.prompt += deepbooru.model.tag(p.init_images[0]) + state.job = f"Iteration {i + 1}/{loops}, batch {n + 1}/{batch_count}" processed = processing.process_images(p) -- cgit v1.2.1