280 lines
9.6 KiB
Python
280 lines
9.6 KiB
Python
from datetime import timedelta
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from logging import getLogger
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from time import monotonic
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from typing import Any, List, Optional, Tuple
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from PIL import Image
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from ..errors import RetryException
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from ..output import save_image
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from ..params import ImageParams, Size, StageParams
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from ..server import ServerContext
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from ..utils import is_debug, run_gc
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from ..worker import ProgressCallback, WorkerContext
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from .stage import BaseStage
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from .tile import needs_tile, process_tile_order
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logger = getLogger(__name__)
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PipelineStage = Tuple[BaseStage, StageParams, Optional[dict]]
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class ChainProgress:
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def __init__(self, parent: ProgressCallback, start=0) -> None:
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self.parent = parent
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self.step = start
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self.total = 0
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def __call__(self, step: int, timestep: int, latents: Any) -> None:
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if step < self.step:
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# accumulate on resets
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self.total += self.step
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self.step = step
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self.parent(self.get_total(), timestep, latents)
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def get_total(self) -> int:
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return self.step + self.total
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@classmethod
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def from_progress(cls, parent: ProgressCallback):
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start = parent.step if hasattr(parent, "step") else 0
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return ChainProgress(parent, start=start)
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class ChainPipeline:
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"""
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Run many stages in series, passing the image results from each to the next, and processing
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tiles as needed.
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"""
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def __init__(
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self,
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stages: Optional[List[PipelineStage]] = None,
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):
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"""
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Create a new pipeline that will run the given stages.
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"""
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self.stages = list(stages or [])
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def append(self, stage: Optional[PipelineStage]):
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"""
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Append an additional stage to this pipeline.
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This requires an already-assembled `PipelineStage`. Use `ChainPipeline.stage` if you want the pipeline to
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assemble the stage from loose arguments.
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"""
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if stage is not None:
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self.stages.append(stage)
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def run(
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self,
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worker: WorkerContext,
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server: ServerContext,
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params: ImageParams,
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sources: List[Image.Image],
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callback: Optional[ProgressCallback],
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**kwargs
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) -> List[Image.Image]:
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return self(
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worker, server, params, sources=sources, callback=callback, **kwargs
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)
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def stage(self, callback: BaseStage, params: StageParams, **kwargs):
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self.stages.append((callback, params, kwargs))
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return self
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def steps(self, params: ImageParams, size: Size):
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steps = 0
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for callback, _params, kwargs in self.stages:
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steps += callback.steps(kwargs.get("params", params), size)
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return steps
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def outputs(self, params: ImageParams, sources: int):
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outputs = sources
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for callback, _params, kwargs in self.stages:
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outputs = callback.outputs(kwargs.get("params", params), outputs)
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return outputs
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def __call__(
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self,
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worker: WorkerContext,
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server: ServerContext,
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params: ImageParams,
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sources: List[Image.Image],
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callback: Optional[ProgressCallback] = None,
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**pipeline_kwargs
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) -> List[Image.Image]:
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"""
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DEPRECATED: use `run` instead
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"""
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if callback is None:
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callback = worker.get_progress_callback()
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else:
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callback = ChainProgress.from_progress(callback)
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start = monotonic()
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if len(sources) > 0:
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logger.info(
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"running pipeline on %s source images",
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len(sources),
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)
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else:
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logger.info("running pipeline without source images")
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stage_sources = sources
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for stage_pipe, stage_params, stage_kwargs in self.stages:
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name = stage_params.name or stage_pipe.__class__.__name__
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kwargs = stage_kwargs or {}
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kwargs = {**pipeline_kwargs, **kwargs}
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logger.debug(
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"running stage %s with %s source images, parameters: %s",
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name,
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len(stage_sources) - stage_sources.count(None),
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kwargs.keys(),
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)
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per_stage_params = params
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if "params" in kwargs:
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per_stage_params = kwargs["params"]
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kwargs.pop("params")
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# the stage must be split and tiled if any image is larger than the selected/max tile size
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must_tile = any(
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[
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needs_tile(
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stage_pipe.max_tile,
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stage_params.tile_size,
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size=kwargs.get("size", None),
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source=source,
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)
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for source in stage_sources
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]
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)
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tile = stage_params.tile_size
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if stage_pipe.max_tile > 0:
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tile = min(stage_pipe.max_tile, stage_params.tile_size)
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if must_tile:
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stage_outputs = []
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for source in stage_sources:
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logger.info(
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"image larger than tile size of %s, tiling stage",
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tile,
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)
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extra_tiles = []
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def stage_tile(
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source_tile: Image.Image,
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tile_mask: Image.Image,
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dims: Tuple[int, int, int],
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) -> Image.Image:
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for _i in range(worker.retries):
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try:
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output_tile = stage_pipe.run(
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worker,
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server,
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stage_params,
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per_stage_params,
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[source_tile],
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tile_mask=tile_mask,
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callback=callback,
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dims=dims,
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**kwargs,
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)
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if len(output_tile) > 1:
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while len(extra_tiles) < len(output_tile):
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extra_tiles.append([])
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for tile, layer in zip(output_tile, extra_tiles):
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layer.append((tile, dims))
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if is_debug():
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save_image(server, "last-tile.png", output_tile[0])
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return output_tile[0]
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except Exception:
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worker.retries = worker.retries - 1
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logger.exception(
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"error while running stage pipeline for tile, %s retries left",
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worker.retries,
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)
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server.cache.clear()
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run_gc([worker.get_device()])
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raise RetryException("exhausted retries on tile")
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output = process_tile_order(
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stage_params.tile_order,
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source,
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tile,
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stage_params.outscale,
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[stage_tile],
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**kwargs,
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)
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stage_outputs.append(output)
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if len(extra_tiles) > 1:
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for layer in extra_tiles:
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layer_output = Image.new("RGB", output.size)
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for layer_tile, dims in layer:
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layer_output.paste(layer_tile, (dims[0], dims[1]))
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stage_outputs.append(layer_output)
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stage_sources = stage_outputs
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else:
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logger.debug("image within tile size of %s, running stage", tile)
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for i in range(worker.retries):
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try:
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stage_outputs = stage_pipe.run(
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worker,
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server,
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stage_params,
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per_stage_params,
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stage_sources,
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callback=callback,
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dims=(0, 0, tile),
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**kwargs,
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)
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# doing this on the same line as stage_pipe.run can leave sources as None, which the pipeline
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# does not like, so it throws
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stage_sources = stage_outputs
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break
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except Exception:
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worker.retries = worker.retries - 1
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logger.exception(
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"error while running stage pipeline, %s retries left", worker.retries
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)
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server.cache.clear()
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run_gc([worker.get_device()])
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if worker.retries <= 0:
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raise RetryException("exhausted retries on stage")
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logger.debug(
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"finished stage %s with %s results",
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name,
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len(stage_sources),
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)
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if is_debug():
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save_image(server, "last-stage.png", stage_sources[0])
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end = monotonic()
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duration = timedelta(seconds=(end - start))
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logger.info(
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"finished pipeline in %s with %s results",
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duration,
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len(stage_sources),
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)
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return stage_sources
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