add controlnet inpainting
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@@ -1,22 +1,12 @@
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import random
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import PIL.Image
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import cv2
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import numpy as np
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import torch
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from diffusers import (
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PNDMScheduler,
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DDIMScheduler,
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LMSDiscreteScheduler,
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EulerDiscreteScheduler,
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EulerAncestralDiscreteScheduler,
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DPMSolverMultistepScheduler,
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)
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from loguru import logger
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from lama_cleaner.model.base import DiffusionInpaintModel
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from lama_cleaner.model.utils import torch_gc, set_seed
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from lama_cleaner.schema import Config, SDSampler
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from lama_cleaner.model.utils import torch_gc, get_scheduler
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from lama_cleaner.schema import Config
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class CPUTextEncoderWrapper:
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@@ -101,22 +91,7 @@ class SD(DiffusionInpaintModel):
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"""
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scheduler_config = self.model.scheduler.config
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if config.sd_sampler == SDSampler.ddim:
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scheduler = DDIMScheduler.from_config(scheduler_config)
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elif config.sd_sampler == SDSampler.pndm:
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scheduler = PNDMScheduler.from_config(scheduler_config)
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elif config.sd_sampler == SDSampler.k_lms:
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scheduler = LMSDiscreteScheduler.from_config(scheduler_config)
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elif config.sd_sampler == SDSampler.k_euler:
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scheduler = EulerDiscreteScheduler.from_config(scheduler_config)
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elif config.sd_sampler == SDSampler.k_euler_a:
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scheduler = EulerAncestralDiscreteScheduler.from_config(scheduler_config)
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elif config.sd_sampler == SDSampler.dpm_plus_plus:
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scheduler = DPMSolverMultistepScheduler.from_config(scheduler_config)
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else:
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raise ValueError(config.sd_sampler)
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scheduler = get_scheduler(config.sd_sampler, scheduler_config)
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self.model.scheduler = scheduler
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if config.sd_mask_blur != 0:
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