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https://github.com/vladmandic/automatic
synced 2026-09-19 17:24:32 +02:00
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@@ -645,7 +645,6 @@ Negative prompt: {json_info["uc"]}
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Steps: {json_info["steps"]}, Sampler: {sampler}, CFG scale: {json_info["scale"]}, Seed: {json_info["seed"]}, Size: {image.width}x{image.height}, Clip skip: 2, ENSD: 31337"""
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except Exception as e:
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errors.display(e, 'novelai image parser')
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print('GENINFO', geninfo)
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return geninfo, items
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+2
-3
@@ -3,14 +3,13 @@ import os
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import numpy as np
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from PIL import Image, ImageOps, ImageFilter, ImageEnhance, ImageChops, UnidentifiedImageError
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from modules import devices, sd_samplers
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from modules import sd_samplers
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from modules.generation_parameters_copypaste import create_override_settings_dict
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from modules.processing import Processed, StableDiffusionProcessingImg2Img, process_images
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from modules.shared import opts, state
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import modules.shared as shared
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import modules.processing as processing
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from modules.ui import plaintext_to_html
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import modules.images as images
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import modules.scripts
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@@ -78,7 +77,7 @@ def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args):
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processed_image.save(os.path.join(output_dir, filename))
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def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_styles, init_img, sketch, init_img_with_mask, inpaint_color_sketch, inpaint_color_sketch_orig, init_img_inpaint, init_mask_inpaint, steps: int, sampler_index: int, mask_blur: int, mask_alpha: float, inpainting_fill: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, image_cfg_scale: float, denoising_strength: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, height: int, width: int, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, img2img_batch_inpaint_mask_dir: str, override_settings_texts, *args):
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def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_styles, init_img, sketch, init_img_with_mask, inpaint_color_sketch, inpaint_color_sketch_orig, init_img_inpaint, init_mask_inpaint, steps: int, sampler_index: int, mask_blur: int, mask_alpha: float, inpainting_fill: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, image_cfg_scale: float, denoising_strength: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, height: int, width: int, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, img2img_batch_inpaint_mask_dir: str, override_settings_texts, *args): # pylint: disable=unused-argument
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override_settings = create_override_settings_dict(override_settings_texts)
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is_batch = mode == 5
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@@ -1,4 +1,6 @@
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import os
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import tempfile
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from typing import List
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from PIL import Image
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@@ -6,7 +8,7 @@ from modules import shared, images, devices, scripts, scripts_postprocessing, ui
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from modules.shared import opts
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def run_postprocessing(extras_mode, image, image_folder, input_dir, output_dir, show_extras_results, *args, save_output: bool = True):
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def run_postprocessing(extras_mode, image, image_folder: List[tempfile.NamedTemporaryFile], input_dir, output_dir, show_extras_results, *args, save_output: bool = True):
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devices.torch_gc()
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shared.state.begin()
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@@ -18,7 +20,7 @@ def run_postprocessing(extras_mode, image, image_folder, input_dir, output_dir,
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if extras_mode == 1:
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for img in image_folder:
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image = Image.open(img.name)
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image = Image.open(os.path.abspath(img.name))
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image_data.append(image)
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image_names.append(os.path.splitext(img.orig_name)[0])
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elif extras_mode == 2:
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@@ -1,11 +1,11 @@
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import gradio as gr
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from modules import scripts_postprocessing, scripts, shared, gfpgan_model, codeformer_model, ui_common, postprocessing, call_queue
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from modules import scripts_postprocessing, scripts, shared, gfpgan_model, codeformer_model, ui_common, postprocessing, call_queue # pylint: disable=unused-import
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import modules.generation_parameters_copypaste as parameters_copypaste
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from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, wrap_gradio_call
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from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, wrap_gradio_call # pylint: disable=unused-import
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from modules.extras import run_pnginfo
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def create_ui():
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tab_index = gr.State(value=0)
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tab_index = gr.State(value=0) # pylint: disable=abstract-class-instantiated
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with gr.Row().style(equal_height=False, variant='compact'):
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with gr.Column(variant='compact'):
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