| | import base64
|
| | import io
|
| | import time
|
| |
|
| | import gradio as gr
|
| | from pydantic import BaseModel, Field
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| |
|
| | from modules.shared import opts
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| |
|
| | import modules.shared as shared
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| |
|
| |
|
| | current_task = None
|
| | pending_tasks = {}
|
| | finished_tasks = []
|
| | recorded_results = []
|
| | recorded_results_limit = 2
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| |
|
| |
|
| | def start_task(id_task):
|
| | global current_task
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| |
|
| | current_task = id_task
|
| | pending_tasks.pop(id_task, None)
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| |
|
| |
|
| | def finish_task(id_task):
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| | global current_task
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| |
|
| | if current_task == id_task:
|
| | current_task = None
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| |
|
| | finished_tasks.append(id_task)
|
| | if len(finished_tasks) > 16:
|
| | finished_tasks.pop(0)
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| |
|
| |
|
| | def record_results(id_task, res):
|
| | recorded_results.append((id_task, res))
|
| | if len(recorded_results) > recorded_results_limit:
|
| | recorded_results.pop(0)
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| |
|
| |
|
| | def add_task_to_queue(id_job):
|
| | pending_tasks[id_job] = time.time()
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| |
|
| |
|
| | class ProgressRequest(BaseModel):
|
| | id_task: str = Field(default=None, title="Task ID", description="id of the task to get progress for")
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| | id_live_preview: int = Field(default=-1, title="Live preview image ID", description="id of last received last preview image")
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| |
|
| |
|
| | class ProgressResponse(BaseModel):
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| | active: bool = Field(title="Whether the task is being worked on right now")
|
| | queued: bool = Field(title="Whether the task is in queue")
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| | 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")
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| | 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.")
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| |
|
| |
|
| | def setup_progress_api(app):
|
| | return app.add_api_route("/internal/progress", progressapi, methods=["POST"], response_model=ProgressResponse)
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| |
|
| |
|
| | def progressapi(req: ProgressRequest):
|
| | active = req.id_task == current_task
|
| | queued = req.id_task in pending_tasks
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| | completed = req.id_task in finished_tasks
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| |
|
| | if not active:
|
| | return ProgressResponse(active=active, queued=queued, completed=completed, id_live_preview=-1, textinfo="In queue..." if queued else "Waiting...")
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| |
|
| | progress = 0
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| |
|
| | job_count, job_no = shared.state.job_count, shared.state.job_no
|
| | sampling_steps, sampling_step = shared.state.sampling_steps, shared.state.sampling_step
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| |
|
| | if job_count > 0:
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| | progress += job_no / job_count
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| | if sampling_steps > 0 and job_count > 0:
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| | progress += 1 / job_count * sampling_step / sampling_steps
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| |
|
| | progress = min(progress, 1)
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| |
|
| | elapsed_since_start = time.time() - shared.state.time_start
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| | predicted_duration = elapsed_since_start / progress if progress > 0 else None
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| | eta = predicted_duration - elapsed_since_start if predicted_duration is not None else None
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| |
|
| | id_live_preview = req.id_live_preview
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| | shared.state.set_current_image()
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| | if opts.live_previews_enable and shared.state.id_live_preview != req.id_live_preview:
|
| | image = shared.state.current_image
|
| | if image is not None:
|
| | buffered = io.BytesIO()
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| |
|
| | if opts.live_previews_image_format == "png":
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| |
|
| | if max(*image.size) <= 256:
|
| | save_kwargs = {"optimize": True}
|
| | else:
|
| | save_kwargs = {"optimize": False, "compress_level": 1}
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| |
|
| | else:
|
| | save_kwargs = {}
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| |
|
| | 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)
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| |
|
| | 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"
|
| |
|
