oobabooga/text-generation-webui
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oobabooga 2025-11-27 14:25:49 -08:00
parent a873692234
commit be799ba8eb
2 changed files with 18 additions and 18 deletions
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32
modules/ui_image_generation.py
View file

@ -15,10 +15,10 @@ def create_ui():
# TAB 1: GENERATION STUDIO
with gr.TabItem("Generate Images"):
with gr.Row():
# === LEFT COLUMN: CONTROLS ===
with gr.Column(scale=4, min_width=350):
# 1. PROMPT
prompt = gr.Textbox(label="Prompt", placeholder="Describe your imagination...", lines=3, autofocus=True)
neg_prompt = gr.Textbox(label="Negative Prompt", placeholder="Low quality...", lines=3)
@ -54,12 +54,12 @@ def create_ui():
with gr.Column():
batch_size_parallel = gr.Slider(1, 32, value=1, step=1, label="Batch Size (VRAM Heavy)", info="Generates N images at once.")
batch_count_seq = gr.Slider(1, 128, value=1, step=1, label="Sequential Count (Loop)", info="Repeats the generation N times.")
# === RIGHT COLUMN: VIEWPORT ===
with gr.Column(scale=6, min_width=500):
with gr.Column(elem_classes=["viewport-container"]):
output_gallery = gr.Gallery(
label="Output", show_label=False, columns=2, rows=2, height="80vh", object_fit="contain", preview=True
label="Output", show_label=False, columns=2, rows=2, height="80vh", object_fit="contain", preview=True
)
with gr.Row():
used_seed = gr.Markdown(label="Info", interactive=False, lines=3)
@ -74,7 +74,7 @@ def create_ui():
)
# === WIRING ===
# Aspect Buttons
# btn_sq.click(lambda: set_dims(1024, 1024), outputs=[width_slider, height_slider])
# btn_port.click(lambda: set_dims(720, 1280), outputs=[width_slider, height_slider])
@ -91,7 +91,7 @@ def create_ui():
# System
# load_btn.click(fn=load_pipeline, inputs=[backend_drop, compile_check, offload_check, gr.State("bfloat16")], outputs=None)
# History
# refresh_btn.click(fn=get_history_images, inputs=None, outputs=history_gallery)
# Load history on app launch
@ -103,27 +103,27 @@ def generate(prompt, neg_prompt, width, height, steps, seed, batch_size_parallel
import torch
from modules import shared
from modules.image_models import load_image_model
# Auto-load model if not loaded
if shared.image_model is None:
if shared.image_model_name == 'None':
return [], "No image model selected. Please load a model first."
load_image_model(shared.image_model_name)
if shared.image_model is None:
return [], "Failed to load image model."
if seed == -1:
seed = np.random.randint(0, 2**32 - 1)
generator = torch.Generator("cuda").manual_seed(int(seed))
all_images = []
# Sequential loop (easier on VRAM)
for i in range(int(batch_count_seq)):
current_seed = seed + i
generator.manual_seed(int(current_seed))
# Parallel generation
batch_results = shared.image_model(
prompt=prompt,
@ -135,12 +135,12 @@ def generate(prompt, neg_prompt, width, height, steps, seed, batch_size_parallel
num_images_per_prompt=int(batch_size_parallel),
generator=generator,
).images
all_images.extend(batch_results)
# Save to disk
save_generated_images(all_images, prompt, seed)
return all_images, f"Seed: {seed}"
@ -163,7 +163,7 @@ def save_generated_images(images, prompt, seed):
img.save(full_path)
saved_paths.append(full_path)
# Optional: Save prompt metadata in a text file next to it?
# Optional: Save prompt metadata in a text file next to it?
# For now, we just save the image.
return saved_paths

4
modules/ui_model_menu.py
View file

@ -227,14 +227,14 @@ def create_event_handlers():
gradio('image_model_status'),
show_progress=True
)
shared.gradio['image_unload_model'].click(
handle_unload_image_model_click,
None,
gradio('image_model_status'),
show_progress=False
)
shared.gradio['image_download_model_button'].click(
download_image_model_wrapper,
gradio('image_custom_model_menu'),