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@@ -186,7 +186,7 @@ def apply_refiner(cfg_denoiser, x):
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cfg_denoiser.p.setup_conds()
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cfg_denoiser.p.setup_conds()
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cfg_denoiser.update_inner_model()
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cfg_denoiser.update_inner_model()
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inference_memory = 0
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inference_memory = refiner.current_controlnet_required_memory
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unet_patcher = refiner.forge_objects.unet
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unet_patcher = refiner.forge_objects.unet
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model_management.load_models_gpu(
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model_management.load_models_gpu(
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[unet_patcher],
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[unet_patcher],
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@@ -141,7 +141,7 @@ class KDiffusionSampler(sd_samplers_common.Sampler):
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return sigmas
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return sigmas
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def sample_img2img(self, p, x, noise, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
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def sample_img2img(self, p, x, noise, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
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inference_memory = 0
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inference_memory = self.model_wrap.inner_model.current_controlnet_required_memory
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unet_patcher = self.model_wrap.inner_model.forge_objects.unet
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unet_patcher = self.model_wrap.inner_model.forge_objects.unet
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ldm_patched.modules.model_management.load_models_gpu(
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ldm_patched.modules.model_management.load_models_gpu(
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[unet_patcher],
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[unet_patcher],
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@@ -205,7 +205,7 @@ class KDiffusionSampler(sd_samplers_common.Sampler):
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return samples
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return samples
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def sample(self, p, x, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
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def sample(self, p, x, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
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inference_memory = 0
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inference_memory = self.model_wrap.inner_model.current_controlnet_required_memory
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unet_patcher = self.model_wrap.inner_model.forge_objects.unet
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unet_patcher = self.model_wrap.inner_model.forge_objects.unet
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ldm_patched.modules.model_management.load_models_gpu(
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ldm_patched.modules.model_management.load_models_gpu(
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[unet_patcher],
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[unet_patcher],
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@@ -98,7 +98,7 @@ class CompVisSampler(sd_samplers_common.Sampler):
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return timesteps
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return timesteps
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def sample_img2img(self, p, x, noise, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
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def sample_img2img(self, p, x, noise, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
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inference_memory = 0
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inference_memory = self.model_wrap.inner_model.current_controlnet_required_memory
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unet_patcher = self.model_wrap.inner_model.forge_objects.unet
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unet_patcher = self.model_wrap.inner_model.forge_objects.unet
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ldm_patched.modules.model_management.load_models_gpu(
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ldm_patched.modules.model_management.load_models_gpu(
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[unet_patcher],
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[unet_patcher],
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@@ -150,7 +150,7 @@ class CompVisSampler(sd_samplers_common.Sampler):
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return samples
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return samples
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def sample(self, p, x, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
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def sample(self, p, x, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
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inference_memory = 0
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inference_memory = self.model_wrap.inner_model.current_controlnet_required_memory
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unet_patcher = self.model_wrap.inner_model.forge_objects.unet
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unet_patcher = self.model_wrap.inner_model.forge_objects.unet
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ldm_patched.modules.model_management.load_models_gpu(
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ldm_patched.modules.model_management.load_models_gpu(
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[unet_patcher],
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[unet_patcher],
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