Datasets:
spinosorus
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html.stablediffusion

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processing.fix_seed(p)
batch_count = p.n_iter
p.batch_size = 1
p.n_iter = 1
output_images, info = None, None
initial_seed = None
initial_info = None
initial_width = p.width
initial_img = p.init_images[0]
grids = []
all_images = []
original_init_image = p.init_images
original_prompt = p.prompt
original_denoise = p.denoising_strength
state.job_count = loops * batch_count
initial_color_corrections = [processing.setup_color_correction(p.init_images[0])]
for n in range(batch_count):
history = []
frames = []
third_image = None
third_image_index = 0
frame_color_correction = None
# Reset to original init image at the start of each batch
p.init_images = original_init_image
p.width = initial_width
for i in range(loops):
p.n_iter = 1
p.batch_size = 1
p.do_not_save_grid = True
p.control_net_input_image = Image.open(reference_imgs[i].name).convert("RGB").resize((initial_width, p.height), Image.ANTIALIAS)
if(i > 0):
loopback_image = p.init_images[0]
if loopback_source == "InputFrame":
loopback_image = p.control_net_input_image
elif loopback_source == "FirstGen":
loopback_image = history[0]
if third_frame_image != "None" and i > 1:
p.width = initial_width * 3
img = Image.new("RGB", (initial_width*3, p.height))
img.paste(p.init_images[0], (0, 0))
# img.paste(p.init_images[0], (initial_width, 0))
img.paste(loopback_image, (initial_width, 0))
img.paste(third_image, (initial_width*2, 0))
p.init_images = [img]
if color_correction_enabled:
p.color_corrections = [processing.setup_color_correction(img)]
msk = Image.new("RGB", (initial_width*3, p.height))
msk.paste(Image.open(reference_imgs[i-1].name).convert("RGB").resize((initial_width, p.height), Image.ANTIALIAS), (0, 0))
msk.paste(p.control_net_input_image, (initial_width, 0))
msk.paste(Image.open(reference_imgs[third_image_index].name).convert("RGB").resize((initial_width, p.height), Image.ANTIALIAS), (initial_width*2, 0))
p.control_net_input_image = msk
latent_mask = Image.new("RGB", (initial_width*3, p.height), "black")
latent_draw = ImageDraw.Draw(latent_mask)
latent_draw.rectangle((initial_width,0,initial_width*2,p.height), fill="white")
p.image_mask = latent_mask
p.denoising_strength = original_denoise
else:
p.width = initial_width * 2
img = Image.new("RGB", (initial_width*2, p.height))
img.paste(p.init_images[0], (0, 0))
# img.paste(p.init_images[0], (initial_width, 0))
img.paste(loopback_image, (initial_width, 0))
p.init_images = [img]
if color_correction_enabled:
p.color_corrections = [processing.setup_color_correction(img)]
msk = Image.new("RGB", (initial_width*2, p.height))
msk.paste(Image.open(reference_imgs[i-1].name).convert("RGB").resize((initial_width, p.height), Image.ANTIALIAS), (0, 0))
msk.paste(p.control_net_input_image, (initial_width, 0))
p.control_net_input_image = msk
frames.append(msk)
# latent_mask = Image.new("RGB", (initial_width*2, p.height), "white")
# latent_draw = ImageDraw.Draw(latent_mask)
# latent_draw.rectangle((0,0,initial_width,p.height), fill="black")
latent_mask = Image.new("RGB", (initial_width*2, p.height), "black")
latent_draw = ImageDraw.Draw(latent_mask)
latent_draw.rectangle((initial_width,0,initial_width*2,p.height), fill="white")
# p.latent_mask = latent_mask
p.image_mask = latent_mask
p.denoising_strength = original_denoise
else:
latent_mask = Image.new("RGB", (initial_width, p.height), "white")
# p.latent_mask = latent_mask
p.image_mask = latent_mask