import base64 import io import time import gradio as gr from pydantic import BaseModel, Field from modules.shared import opts import modules.shared as shared current_task = None pending_tasks = {} finished_tasks = [] recorded_results = [] recorded_results_limit = 2 def start_task(id_task): global current_task current_task = id_task pending_tasks.pop(id_task, None) def finish_task(id_task): global current_task if current_task == id_task: current_task = None finished_tasks.append(id_task) if len(finished_tasks) > 16: finished_tasks.pop(0) def record_results(id_task, res): recorded_results.append((id_task, res)) if len(recorded_results) > recorded_results_limit: recorded_results.pop(0) def add_task_to_queue(id_job): pending_tasks[id_job] = time.time() class ProgressRequest(BaseModel): id_task: str = Field(default=None, title="Task ID", description="id of the task to get progress for") id_live_preview: int = Field(default=-1, title="Live preview image ID", description="id of last received last preview image") live_preview: bool = Field(default=True, title="Include live preview", description="boolean flag indicating whether to include the live preview image") class ProgressResponse(BaseModel): active: bool = Field(title="Whether the task is being worked on right now") queued: bool = Field(title="Whether the task is in queue") completed: bool = Field(title="Whether the task has already finished") progress: float = Field(default=None, title="Progress", description="The progress with a range of 0 to 1") eta: float = Field(default=None, title="ETA in secs") live_preview: str = Field(default=None, title="Live preview image", description="Current live preview; a data: uri") id_live_preview: int = Field(default=None, title="Live preview image ID", description="Send this together with next request to prevent receiving same image") textinfo: str = Field(default=None, title="Info text", description="Info text used by WebUI.") def setup_progress_api(app): return app.add_api_route("/internal/progress", progressapi, methods=["POST"], response_model=ProgressResponse) def progressapi(req: ProgressRequest): active = req.id_task == current_task queued = req.id_task in pending_tasks completed = req.id_task in finished_tasks if not active: return ProgressResponse(active=active, queued=queued, completed=completed, id_live_preview=-1, textinfo="In queue..." if queued else "Waiting...") progress = 0 job_count, job_no = shared.state.job_count, shared.state.job_no sampling_steps, sampling_step = shared.state.sampling_steps, shared.state.sampling_step if job_count > 0: progress += job_no / job_count if sampling_steps > 0 and job_count > 0: progress += 1 / job_count * sampling_step / sampling_steps progress = min(progress, 1) elapsed_since_start = time.time() - shared.state.time_start predicted_duration = elapsed_since_start / progress if progress > 0 else None eta = predicted_duration - elapsed_since_start if predicted_duration is not None else None id_live_preview = req.id_live_preview shared.state.set_current_image() if opts.live_previews_enable and req.live_preview and shared.state.id_live_preview != req.id_live_preview: image = shared.state.current_image if image is not None: buffered = io.BytesIO() if opts.live_previews_image_format == "png": # using optimize for large images takes an enormous amount of time if max(*image.size) <= 256: save_kwargs = {"optimize": True} else: save_kwargs = {"optimize": False, "compress_level": 1} else: save_kwargs = {} image.save(buffered, format=opts.live_previews_image_format, **save_kwargs) base64_image = base64.b64encode(buffered.getvalue()).decode('ascii') live_preview = f"data:image/{opts.live_previews_image_format};base64,{base64_image}" id_live_preview = shared.state.id_live_preview else: live_preview = None else: live_preview = None return ProgressResponse(active=active, queued=queued, completed=completed, progress=progress, eta=eta, live_preview=live_preview, id_live_preview=id_live_preview, textinfo=shared.state.textinfo) def restore_progress(id_task): while id_task == current_task or id_task in pending_tasks: time.sleep(0.1) res = next(iter([x[1] for x in recorded_results if id_task == x[0]]), None) if res is not None: return res return gr.update(), gr.update(), gr.update(), f"Couldn't restore progress for {id_task}: results either have been discarded or never were obtained"