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https://github.com/vladmandic/automatic
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progress use batch info
Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
@@ -1,5 +1,12 @@
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# Change Log for SD.Next
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## Update for 2025-04-04
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- LoRA: obey configured device when performing calculations
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- Video: add FasterCache and PAB support to WanDB and LTX models
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- Progress: add additional fields to progress API
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- Progress: use batch-count for progress
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## Update for 2025-04-03
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### Highlights for 2025-04-03
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+1
-1
@@ -538,7 +538,7 @@ def check_diffusers():
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t_start = time.time()
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if args.skip_all or args.skip_git or args.experimental:
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return
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sha = 'e5c6027ef89ec1a2800c0421599da89d4820f2e4' # diffusers commit hash
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sha = 'f10775b1b55cbebc58655b966b4ba3a6fc259ca3' # diffusers commit hash
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pkg = pkg_resources.working_set.by_key.get('diffusers', None)
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minor = int(pkg.version.split('.')[1] if pkg is not None else 0)
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cur = opts.get('diffusers_version', '') if minor > 0 else ''
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@@ -294,14 +294,14 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
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ema_scope_context = p.sd_model.ema_scope if not shared.native else nullcontext
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if not shared.native:
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shared.state.job_count = p.n_iter
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shared.state.batch_count = p.n_iter
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with devices.inference_context(), ema_scope_context():
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t0 = time.time()
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if not hasattr(p, 'skip_init'):
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p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
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debug(f'Processing inner: args={vars(p)}')
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for n in range(p.n_iter):
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# if hasattr(p, 'skip_processing'):
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# continue
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shared.state.batch_no = n + 1
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pag.apply(p)
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debug(f'Processing inner: iteration={n+1}/{p.n_iter}')
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p.iteration = n
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+44
-8
@@ -47,44 +47,80 @@ class ProgressRequest(BaseModel):
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class InternalProgressResponse(BaseModel):
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job: str = Field(default=None, title="Job name", description="Internal job name")
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textinfo: str = Field(default=None, title="Info text", description="Info text used by WebUI.")
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# status fields
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active: bool = Field(title="Whether the task is being worked on right now")
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queued: bool = Field(title="Whether the task is in queue")
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paused: bool = Field(title="Whether the task is paused")
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completed: bool = Field(title="Whether the task has already finished")
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debug: bool = Field(title="Debug logging level")
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# raw fields
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step: int = Field(default=None, title="Current step", description="Current step of the task")
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steps: int = Field(default=None, title="Total steps", description="Total number of steps")
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batch_no: int = Field(default=None, title="Current batch", description="Current batch")
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batch_count: int = Field(default=None, title="Total batches", description="Total number of batches")
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# calculated fields
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progress: float = Field(default=None, title="Progress", description="The progress with a range of 0 to 1")
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eta: float = Field(default=None, title="ETA in secs")
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# image fields
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live_preview: str = Field(default=None, title="Live preview image", description="Current live preview; a data: uri")
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id_live_preview: int = Field(default=None, title="Live preview image ID", description="Send this together with next request to prevent receiving same image")
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textinfo: str = Field(default=None, title="Info text", description="Info text used by WebUI.")
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def progressapi(req: ProgressRequest):
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def api_progress(req: ProgressRequest):
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active = req.id_task == current_task
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queued = req.id_task in pending_tasks
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completed = req.id_task in finished_tasks
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paused = shared.state.paused
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step = max(shared.state.sampling_step, 0)
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steps = max(shared.state.sampling_steps, 1)
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progress = round(min(1, abs(step / steps) if steps > 0 else 0), 2)
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batch_no = max(shared.state.batch_no, 0)
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batch_count = max(shared.state.batch_count, 0)
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current = step / steps if step > 0 and steps > 0 else 0
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batch = batch_no / batch_count if batch_no > 0 and batch_count > 0 else 1
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progress = round(min(1, current * batch), 2)
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elapsed = time.time() - shared.state.time_start if shared.state.time_start is not None else 0
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predicted = elapsed / progress if progress > 0 else None
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eta = predicted - elapsed if predicted is not None else None
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id_live_preview = req.id_live_preview
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live_preview = None
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textinfo = shared.state.textinfo
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updated = shared.state.set_current_image()
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debug_log(f'Preview: job={shared.state.job} active={active} progress={step}/{steps}/{progress} image={shared.state.current_image_sampling_step} request={id_live_preview} last={shared.state.id_live_preview} enabled={shared.opts.live_previews_enable} job={shared.state.preview_job} updated={updated} image={shared.state.current_image} elapsed={elapsed:.3f}')
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if not active:
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return InternalProgressResponse(job=shared.state.job, active=active, queued=queued, paused=paused, completed=completed, id_live_preview=-1, debug=debug, textinfo="Queued..." if queued else "Waiting...")
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if shared.opts.live_previews_enable and (shared.state.id_live_preview != id_live_preview) and (shared.state.current_image is not None):
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id_live_preview = -1
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textinfo = "Queued..." if queued else "Waiting..."
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debug_log(f'Preview: job={shared.state.job} active={active} progress={step}/{steps}/{progress} image={shared.state.current_image_sampling_step} request={id_live_preview} last={shared.state.id_live_preview} enabled={shared.opts.live_previews_enable} job={shared.state.preview_job} updated={updated} image={shared.state.current_image} elapsed={elapsed:.3f}')
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if shared.opts.live_previews_enable and active and (shared.state.id_live_preview != req.id_live_preview) and (shared.state.current_image is not None):
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buffered = io.BytesIO()
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shared.state.current_image.save(buffered, format='jpeg')
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live_preview = f'data:image/jpeg;base64,{base64.b64encode(buffered.getvalue()).decode("ascii")}'
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id_live_preview = shared.state.id_live_preview
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res = InternalProgressResponse(job=shared.state.job, active=active, queued=queued, paused=paused, completed=completed, progress=progress, eta=eta, live_preview=live_preview, id_live_preview=id_live_preview, debug=debug, textinfo=shared.state.textinfo)
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res = InternalProgressResponse(
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job=shared.state.job,
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textinfo=textinfo,
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active=active,
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queued=queued,
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paused=paused,
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completed=completed,
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debug=debug,
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progress=progress,
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step=step,
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steps=steps,
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batch_no=batch_no,
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batch_count=batch_count,
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job_timestamp=shared.state.time_start,
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eta=eta,
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live_preview=live_preview,
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id_live_preview=id_live_preview,
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)
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return res
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def setup_progress_api():
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shared.api.add_api_route("/internal/progress", progressapi, methods=["POST"], response_model=InternalProgressResponse)
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shared.api.add_api_route("/internal/progress", api_progress, methods=["POST"], response_model=InternalProgressResponse)
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@@ -19,6 +19,8 @@ class State:
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job = ""
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job_no = 0
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job_count = 0
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batch_no = 0
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batch_count = 0
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frame_count = 0
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total_jobs = 0
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job_timestamp = '0'
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@@ -145,6 +147,8 @@ class State:
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self.job = title
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self.job_count = 0
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self.frame_count = 0
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self.batch_no = 0
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self.batch_count = 0
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self.job_no = 0
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self.job_timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
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self.paused = False
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+1
-1
Submodule wiki updated: 9408b299ff...7d2b46a482
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