Added tag parsing for prompts from file

1 files changed, 57 insertions, 1 deletions

diff --git a/scripts/prompts_from_file.py b/scripts/prompts_from_file.py
index 513d9a1c..36e199b3 100644
--- a/scripts/prompts_from_file.py
+++ b/scripts/prompts_from_file.py
@@ -2,6 +2,7 @@ import math
 import os

 import sys

 import traceback

+from xml.etree.ElementTree import tostring

 

 import modules.scripts as scripts

 import gradio as gr

@@ -29,6 +30,44 @@ class Script(scripts.Script):
         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 process_string_tag(self, tag):

+        return tag[1:-2]

+

+    def process_int_tag(self, tag):

+        return int(tag)

+

+    def process_float_tag(self, tag):

+        return float(tag)

+

+    def process_boolean_tag(self, tag):

+        return True if (tag == "true") else False

+

+    prompt_tags = {

+        "sd_model": None,

+        "outpath_samples": process_string_tag,

+        "outpath_grids": process_string_tag,

+        "prompt_for_display": process_string_tag,

+        "prompt": process_string_tag,

+        "negative_prompt": process_string_tag,

+        "styles": process_string_tag,

+        "seed": process_int_tag,

+        "subseed_strength": process_float_tag,

+        "subseed": process_int_tag,

+        "seed_resize_from_h": process_int_tag,

+        "seed_resize_from_w": process_int_tag,

+        "sampler_index": process_int_tag,

+        "batch_size": process_int_tag,

+        "n_iter": process_int_tag,

+        "steps": process_int_tag,

+        "cfg_scale": process_float_tag,

+        "width": process_int_tag,

+        "height": process_int_tag,

+        "restore_faces": process_boolean_tag,

+        "tiling": process_boolean_tag,

+        "do_not_save_samples": process_boolean_tag,

+        "do_not_save_grid": process_boolean_tag

+    }

+

     def run(self, p, checkbox_txt, data: bytes, prompt_txt: str):

         if (checkbox_txt):

             lines = [x.strip() for x in prompt_txt.splitlines()]

@@ -39,6 +78,7 @@ class Script(scripts.Script):
         img_count = len(lines) * p.n_iter

         batch_count = math.ceil(img_count / p.batch_size)

         loop_count = math.ceil(batch_count / p.n_iter)

+        # These numbers no longer accurately reflect the total images and number of batches

         print(f"Will process {img_count} images in {batch_count} batches.")

 

         p.do_not_save_grid = True

@@ -48,7 +88,23 @@ class Script(scripts.Script):
         images = []

         for loop_no in range(loop_count):

             state.job = f"{loop_no + 1} out of {loop_count}"

-            p.prompt = lines[loop_no*p.batch_size:(loop_no+1)*p.batch_size] * p.n_iter

+            # The following line may need revising to remove batch_size references

+            current_line = lines[loop_no*p.batch_size:(loop_no+1)*p.batch_size] * p.n_iter

+            if(current_line[0][:2] != "--"):

+                p.prompt = current_line

+            else:

+                tokenized_line = current_line[0].split("--")

+

+                for tag in tokenized_line:

+                    tag_split = tag.split(" ", 1)

+                    if(tag_split[0] != ''):

+                        value_func = self.prompt_tags.get(tag_split[0], None)

+                        if(value_func != None):

+                            value = value_func(self, tag_split[1])

+                            setattr(p, tag_split[0], value)

+                        else:

+                            print(f"Unknown option \"{tag_split}\"")

+

             proc = process_images(p)

             images += proc.images