Prompt selector for Prompt Matrix script
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@ -10,7 +10,7 @@ from modules import images
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from modules.processing import process_images, Processed
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from modules.shared import opts, cmd_opts, state
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import modules.sd_samplers
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from pprint import pprint
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def draw_xy_grid(xs, ys, x_label, y_label, cell):
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res = []
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@ -44,16 +44,23 @@ class Script(scripts.Script):
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def title(self):
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return "Prompt matrix"
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def ui(self, is_img2img):
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def ui(self, is_img2img):
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put_at_start = gr.Checkbox(label='Put variable parts at start of prompt', value=False, elem_id=self.elem_id("put_at_start"))
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different_seeds = gr.Checkbox(label='Use different seed for each picture', value=False, elem_id=self.elem_id("different_seeds"))
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# Radio buttons for selecting the prompt between positive and negative
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prompt_type = gr.Radio(["positive", "negative"], label="Select prompt", elem_id=self.elem_id("prompt_type"), value="positive")
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return [put_at_start, different_seeds]
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return [put_at_start, different_seeds, prompt_type]
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def run(self, p, put_at_start, different_seeds):
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def run(self, p, put_at_start, different_seeds, prompt_type):
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modules.processing.fix_seed(p)
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# Raise error if promp type is not positive or negative
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if prompt_type not in ["positive", "negative"]:
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raise ValueError(f"Unknown prompt type {prompt_type}")
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original_prompt = p.prompt[0] if type(p.prompt) == list else p.prompt
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prompt = p.prompt if prompt_type == "positive" else p.negative_prompt
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original_prompt = prompt[0] if type(prompt) == list else prompt
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positive_prompt = p.prompt[0] if type(p.prompt) == list else p.prompt
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all_prompts = []
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prompt_matrix_parts = original_prompt.split("|")
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@ -73,9 +80,12 @@ class Script(scripts.Script):
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print(f"Prompt matrix will create {len(all_prompts)} images using a total of {p.n_iter} batches.")
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p.prompt = all_prompts
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if prompt_type == "positive":
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p.prompt = all_prompts
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else:
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p.negative_prompt = all_prompts
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p.seed = [p.seed + (i if different_seeds else 0) for i in range(len(all_prompts))]
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p.prompt_for_display = original_prompt
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p.prompt_for_display = positive_prompt
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processed = process_images(p)
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grid = images.image_grid(processed.images, p.batch_size, rows=1 << ((len(prompt_matrix_parts) - 1) // 2))
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