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Load model in inpaint when using free_gpu_mem option #1938

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Dec 12, 2022
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1 change: 1 addition & 0 deletions ldm/generate.py
Original file line number Diff line number Diff line change
Expand Up @@ -806,6 +806,7 @@ def _make_inpaint(self):
if not self.generators.get('inpaint'):
from ldm.invoke.generator.inpaint import Inpaint
self.generators['inpaint'] = Inpaint(self.model, self.precision)
self.generators['inpaint'].free_gpu_mem = self.free_gpu_mem
return self.generators['inpaint']

# "omnibus" supports the runwayML custom inpainting model, which does
Expand Down
13 changes: 8 additions & 5 deletions ldm/invoke/generator/inpaint.py
Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,7 @@ def get_tile_images(self, image: np.ndarray, width=8, height=8):
writeable=False
)

def infill_patchmatch(self, im: Image.Image) -> Image:
def infill_patchmatch(self, im: Image.Image) -> Image:
if im.mode != 'RGBA':
return im

Expand Down Expand Up @@ -128,7 +128,7 @@ def mask_edge(self, mask: Image, edge_size: int, edge_blur: int) -> Image:
# Combine
npmask = npgradient + npedge

# Expand
# Expand
npmask = cv.dilate(npmask, np.ones((3,3), np.uint8), iterations = int(edge_size / 2))

new_mask = Image.fromarray(npmask)
Expand Down Expand Up @@ -221,7 +221,7 @@ def get_make_image(self,prompt,sampler,steps,cfg_scale,ddim_eta,
init_filled = init_filled.resize((inpaint_width, inpaint_height))

debug_image(init_filled, "init_filled", debug_status=self.enable_image_debugging)

# Create init tensor
init_image = self._image_to_tensor(init_filled.convert('RGB'))

Expand Down Expand Up @@ -254,7 +254,7 @@ def get_make_image(self,prompt,sampler,steps,cfg_scale,ddim_eta,
f">> Using recommended DDIM sampler for inpainting."
)
sampler = DDIMSampler(self.model, device=self.model.device)

sampler.make_schedule(
ddim_num_steps=steps, ddim_eta=ddim_eta, verbose=False
)
Expand Down Expand Up @@ -291,6 +291,9 @@ def make_image(x_T):
masked_region = (1.0-inpaint_replace) * inverted_mask * z_enc + inpaint_replace * inverted_mask * l_noise
z_enc = z_enc * mask_image + masked_region

if self.free_gpu_mem and self.model.model.device != self.model.device:
self.model.model.to(self.model.device)

# decode it
samples = sampler.decode(
z_enc,
Expand Down Expand Up @@ -353,7 +356,7 @@ def sample_to_image(self, samples)->Image.Image:

if self.pil_image is None or self.pil_mask is None:
return gen_result

corrected_result = super().repaste_and_color_correct(gen_result, self.pil_image, self.pil_mask, self.mask_blur_radius)
debug_image(corrected_result, "corrected_result", debug_status=self.enable_image_debugging)

Expand Down