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import gradio as gr |
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from modules import script_callbacks, scripts, shared |
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from modules.processing import (Processed, StableDiffusionProcessing, |
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StableDiffusionProcessingImg2Img) |
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from modules.scripts import PostprocessBatchListArgs, PostprocessImageArgs |
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from scripts.animatediff_cn import AnimateDiffControl |
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from scripts.animatediff_infv2v import AnimateDiffInfV2V |
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from scripts.animatediff_latent import AnimateDiffI2VLatent |
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from scripts.animatediff_logger import logger_animatediff as logger |
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from scripts.animatediff_lora import AnimateDiffLora |
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from scripts.animatediff_mm import mm_animatediff as motion_module |
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from scripts.animatediff_prompt import AnimateDiffPromptSchedule |
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from scripts.animatediff_output import AnimateDiffOutput |
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from scripts.animatediff_ui import AnimateDiffProcess, AnimateDiffUiGroup |
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from scripts.animatediff_infotext import update_infotext |
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script_dir = scripts.basedir() |
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motion_module.set_script_dir(script_dir) |
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class AnimateDiffScript(scripts.Script): |
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def __init__(self): |
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self.lora_hacker = None |
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self.cfg_hacker = None |
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self.cn_hacker = None |
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self.prompt_scheduler = None |
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self.hacked = False |
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def title(self): |
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return "AnimateDiff" |
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def show(self, is_img2img): |
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return scripts.AlwaysVisible |
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def ui(self, is_img2img): |
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return (AnimateDiffUiGroup().render(is_img2img, motion_module.get_model_dir()),) |
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def before_process(self, p: StableDiffusionProcessing, params: AnimateDiffProcess): |
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if p.is_api and isinstance(params, dict): |
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self.ad_params = AnimateDiffProcess(**params) |
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params = self.ad_params |
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if params.enable: |
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logger.info("AnimateDiff process start.") |
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params.set_p(p) |
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motion_module.inject(p.sd_model, params.model) |
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self.prompt_scheduler = AnimateDiffPromptSchedule() |
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self.lora_hacker = AnimateDiffLora(motion_module.mm.is_v2) |
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self.lora_hacker.hack() |
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self.cfg_hacker = AnimateDiffInfV2V(p, self.prompt_scheduler) |
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self.cfg_hacker.hack(params) |
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self.cn_hacker = AnimateDiffControl(p, self.prompt_scheduler) |
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self.cn_hacker.hack(params) |
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update_infotext(p, params) |
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self.hacked = True |
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elif self.hacked: |
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self.cn_hacker.restore() |
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self.cfg_hacker.restore() |
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self.lora_hacker.restore() |
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motion_module.restore(p.sd_model) |
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self.hacked = False |
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def before_process_batch(self, p: StableDiffusionProcessing, params: AnimateDiffProcess, **kwargs): |
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if p.is_api and isinstance(params, dict): params = self.ad_params |
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if params.enable and isinstance(p, StableDiffusionProcessingImg2Img) and not hasattr(p, '_animatediff_i2i_batch'): |
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AnimateDiffI2VLatent().randomize(p, params) |
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def postprocess_batch_list(self, p: StableDiffusionProcessing, pp: PostprocessBatchListArgs, params: AnimateDiffProcess, **kwargs): |
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if p.is_api and isinstance(params, dict): params = self.ad_params |
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if params.enable: |
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self.prompt_scheduler.save_infotext_img(p) |
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def postprocess_image(self, p: StableDiffusionProcessing, pp: PostprocessImageArgs, params: AnimateDiffProcess, *args): |
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if p.is_api and isinstance(params, dict): params = self.ad_params |
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if params.enable and isinstance(p, StableDiffusionProcessingImg2Img) and hasattr(p, '_animatediff_paste_to_full'): |
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p.paste_to = p._animatediff_paste_to_full[p.batch_index] |
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def postprocess(self, p: StableDiffusionProcessing, res: Processed, params: AnimateDiffProcess): |
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if p.is_api and isinstance(params, dict): params = self.ad_params |
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if params.enable: |
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self.prompt_scheduler.save_infotext_txt(res) |
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self.cn_hacker.restore() |
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self.cfg_hacker.restore() |
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self.lora_hacker.restore() |
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motion_module.restore(p.sd_model) |
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self.hacked = False |
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AnimateDiffOutput().output(p, res, params) |
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logger.info("AnimateDiff process end.") |
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def on_ui_settings(): |
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section = ("animatediff", "AnimateDiff") |
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s3_selection =("animatediff", "AnimateDiff AWS") |
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shared.opts.add_option( |
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"animatediff_model_path", |
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shared.OptionInfo( |
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None, |
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"Path to save AnimateDiff motion modules", |
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gr.Textbox, |
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section=section, |
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), |
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) |
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shared.opts.add_option( |
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"animatediff_optimize_gif_palette", |
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shared.OptionInfo( |
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False, |
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"Calculate the optimal GIF palette, improves quality significantly, removes banding", |
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gr.Checkbox, |
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section=section |
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) |
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) |
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shared.opts.add_option( |
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"animatediff_optimize_gif_gifsicle", |
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shared.OptionInfo( |
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False, |
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"Optimize GIFs with gifsicle, reduces file size", |
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gr.Checkbox, |
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section=section |
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) |
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) |
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shared.opts.add_option( |
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key="animatediff_mp4_crf", |
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info=shared.OptionInfo( |
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default=23, |
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label="MP4 Quality (CRF)", |
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component=gr.Slider, |
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component_args={ |
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"minimum": 0, |
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"maximum": 51, |
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"step": 1}, |
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section=section |
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) |
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.link("docs", "https://trac.ffmpeg.org/wiki/Encode/H.264#crf") |
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.info("17 for best quality, up to 28 for smaller size") |
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) |
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shared.opts.add_option( |
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key="animatediff_mp4_preset", |
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info=shared.OptionInfo( |
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default="", |
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label="MP4 Encoding Preset", |
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component=gr.Dropdown, |
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component_args={"choices": ["", 'veryslow', 'slower', 'slow', 'medium', 'fast', 'faster', 'veryfast', 'superfast', 'ultrafast']}, |
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section=section, |
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) |
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.link("docs", "https://trac.ffmpeg.org/wiki/Encode/H.264#Preset") |
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.info("encoding speed, use the slowest you can tolerate") |
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) |
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shared.opts.add_option( |
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key="animatediff_mp4_tune", |
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info=shared.OptionInfo( |
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default="", |
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label="MP4 Tune encoding for content type", |
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component=gr.Dropdown, |
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component_args={"choices": ["", "film", "animation", "grain"]}, |
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section=section |
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) |
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.link("docs", "https://trac.ffmpeg.org/wiki/Encode/H.264#Tune") |
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.info("optimize for specific content types") |
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) |
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shared.opts.add_option( |
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"animatediff_webp_quality", |
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shared.OptionInfo( |
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80, |
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"WebP Quality (if lossless=True, increases compression and CPU usage)", |
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gr.Slider, |
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{ |
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"minimum": 1, |
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"maximum": 100, |
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"step": 1}, |
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section=section |
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) |
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) |
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shared.opts.add_option( |
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"animatediff_webp_lossless", |
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shared.OptionInfo( |
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False, |
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"Save WebP in lossless format (highest quality, largest file size)", |
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gr.Checkbox, |
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section=section |
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) |
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) |
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shared.opts.add_option( |
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"animatediff_save_to_custom", |
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shared.OptionInfo( |
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False, |
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"Save frames to stable-diffusion-webui/outputs/{ txt|img }2img-images/AnimateDiff/{gif filename}/{date} " |
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"instead of stable-diffusion-webui/outputs/{ txt|img }2img-images/{date}/.", |
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gr.Checkbox, |
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section=section |
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) |
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) |
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shared.opts.add_option( |
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"animatediff_xformers", |
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shared.OptionInfo( |
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"Optimize attention layers with xformers", |
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"When you have --xformers in your command line args, you want AnimateDiff to ", |
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gr.Radio, |
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{"choices": ["Optimize attention layers with xformers", |
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"Optimize attention layers with sdp (torch >= 2.0.0 required)", |
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"Do not optimize attention layers"]}, |
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section=section |
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) |
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) |
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shared.opts.add_option( |
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"animatediff_disable_lcm", |
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shared.OptionInfo( |
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False, |
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"Disable LCM", |
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gr.Checkbox, |
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section=section |
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) |
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) |
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shared.opts.add_option( |
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"animatediff_s3_enable", |
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shared.OptionInfo( |
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False, |
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"Enable to Store file in object storage that supports the s3 protocol", |
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gr.Checkbox, |
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section=s3_selection |
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) |
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) |
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shared.opts.add_option( |
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"animatediff_s3_host", |
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shared.OptionInfo( |
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None, |
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"S3 protocol host", |
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gr.Textbox, |
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section=s3_selection, |
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), |
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) |
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shared.opts.add_option( |
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"animatediff_s3_port", |
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shared.OptionInfo( |
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None, |
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"S3 protocol port", |
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gr.Textbox, |
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section=s3_selection, |
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), |
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) |
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shared.opts.add_option( |
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"animatediff_s3_access_key", |
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shared.OptionInfo( |
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None, |
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"S3 protocol access_key", |
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gr.Textbox, |
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section=s3_selection, |
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), |
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) |
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shared.opts.add_option( |
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"animatediff_s3_secret_key", |
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shared.OptionInfo( |
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None, |
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"S3 protocol secret_key", |
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gr.Textbox, |
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section=s3_selection, |
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), |
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) |
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shared.opts.add_option( |
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"animatediff_s3_storge_bucket", |
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shared.OptionInfo( |
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None, |
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"Bucket for file storage", |
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gr.Textbox, |
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section=s3_selection, |
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), |
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) |
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script_callbacks.on_ui_settings(on_ui_settings) |
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script_callbacks.on_after_component(AnimateDiffUiGroup.on_after_component) |
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script_callbacks.on_before_ui(AnimateDiffUiGroup.on_before_ui) |
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