59 lines
1.5 KiB
Python
59 lines
1.5 KiB
Python
from logging import getLogger
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from PIL import Image
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from .chain import (
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correct_gfpgan,
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upscale_stable_diffusion,
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upscale_resrgan,
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ChainPipeline,
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)
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from .device_pool import (
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JobContext,
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)
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from .params import (
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ImageParams,
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SizeChart,
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StageParams,
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UpscaleParams,
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)
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from .utils import (
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ServerContext,
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)
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logger = getLogger(__name__)
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def run_upscale_correction(
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job: JobContext,
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server: ServerContext,
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stage: StageParams,
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params: ImageParams,
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image: Image.Image,
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*,
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upscale: UpscaleParams,
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) -> Image.Image:
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'''
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This is a convenience method for a chain pipeline that will run upscaling and
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correction, based on the `upscale` params.
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'''
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logger.info('running upscaling and correction pipeline')
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chain = ChainPipeline()
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if upscale.scale > 1:
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if 'esrgan' in upscale.upscale_model:
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stage = StageParams(tile_size=stage.tile_size,
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outscale=upscale.outscale)
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chain.append((upscale_resrgan, stage, None))
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elif 'stable-diffusion' in upscale.upscale_model:
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mini_tile = min(SizeChart.mini, stage.tile_size)
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stage = StageParams(tile_size=mini_tile, outscale=upscale.outscale)
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chain.append((upscale_stable_diffusion, stage, None))
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if upscale.faces:
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stage = StageParams(tile_size=stage.tile_size,
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outscale=1)
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chain.append((correct_gfpgan, stage, None))
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return chain(job, server, params, image, prompt=params.prompt, upscale=upscale)
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