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Image: Simplify the API code, add the llm_variations option

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oobabooga 2025-12-04 10:23:00 -08:00
parent 2793153717
commit 5763947c37
4 changed files with 49 additions and 153 deletions
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10
modules/ui_image_generation.py
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@ -10,7 +10,6 @@ import numpy as np
from PIL.PngImagePlugin import PngInfo
from modules import shared, ui, utils
from modules.utils import check_model_loaded
from modules.image_models import (
get_pipeline_type,
load_image_model,
@ -19,7 +18,7 @@ from modules.image_models import (
from modules.image_utils import open_image_safely
from modules.logging_colors import logger
from modules.text_generation import stop_everything_event
from modules.utils import gradio
from modules.utils import check_model_loaded, gradio
ASPECT_RATIOS = {
"1:1 Square": (1, 1),
@ -725,13 +724,13 @@ def progress_bar_html(progress=0, text=""):
return f'''<div class="image-ai-progress-wrapper">
<div class="image-ai-progress-track">
<div class="image-ai-progress-fill" style="width: {progress*100:.1f}%;"></div>
<div class="image-ai-progress-fill" style="width: {progress * 100:.1f}%;"></div>
</div>
<div class="image-ai-progress-text">{text}</div>
</div>'''
def generate(state):
def generate(state, save_images=True):
"""
Generate images using the loaded model.
Automatically adjusts parameters based on pipeline type.
@ -868,7 +867,8 @@ def generate(state):
yield all_images, progress_bar_html((batch_idx + 1) / batch_count, f"Batch {batch_idx + 1}/{batch_count} complete")
t1 = time.time()
save_generated_images(all_images, state, seed)
if save_images:
save_generated_images(all_images, state, seed)
total_images = batch_count * int(state['image_batch_size'])
logger.info(f'Generated {total_images} {"image" if total_images == 1 else "images"} in {(t1 - t0):.2f} seconds ({total_steps / (t1 - t0):.2f} steps/s, seed {seed})')