From be799ba8ebbf1aebe279160297effa98d326b306 Mon Sep 17 00:00:00 2001 From: oobabooga <112222186+oobabooga@users.noreply.github.com> Date: Thu, 27 Nov 2025 14:25:49 -0800 Subject: [PATCH] Lint --- modules/ui_image_generation.py | 32 ++++++++++++++++---------------- modules/ui_model_menu.py | 4 ++-- 2 files changed, 18 insertions(+), 18 deletions(-) diff --git a/modules/ui_image_generation.py b/modules/ui_image_generation.py index 25bfeb21..ec1799dd 100644 --- a/modules/ui_image_generation.py +++ b/modules/ui_image_generation.py @@ -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 diff --git a/modules/ui_model_menu.py b/modules/ui_model_menu.py index cb3508f8..c4cce35d 100644 --- a/modules/ui_model_menu.py +++ b/modules/ui_model_menu.py @@ -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'),