diff options
| -rw-r--r-- | scripts/sd_upscale.py | 30 |
1 files changed, 18 insertions, 12 deletions
diff --git a/scripts/sd_upscale.py b/scripts/sd_upscale.py index 01074291..4370abe1 100644 --- a/scripts/sd_upscale.py +++ b/scripts/sd_upscale.py @@ -17,13 +17,16 @@ class Script(scripts.Script): return is_img2img
def ui(self, is_img2img):
- info = gr.HTML("<p style=\"margin-bottom:0.75em\">Will upscale the image to twice the dimensions; use width and height sliders to set tile size</p>")
+ info = gr.HTML(
+ "<p style=\"margin-bottom:0.75em\">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>")
overlap = gr.Slider(minimum=0, maximum=256, step=16, label='Tile overlap', value=64)
- upscaler_index = gr.Radio(label='Upscaler', choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
+ scale_factor = gr.Slider(minimum=0, maximum=4, step=1, label='Scale Factor', value=2)
+ upscaler_index = gr.Radio(label='Upscaler', choices=[x.name for x in shared.sd_upscalers],
+ value=shared.sd_upscalers[0].name, type="index")
- return [info, overlap, upscaler_index]
+ return [info, overlap, upscaler_index, scale_factor]
- def run(self, p, _, overlap, upscaler_index):
+ def run(self, p, _, overlap, upscaler_index, scale_factor):
processing.fix_seed(p)
upscaler = shared.sd_upscalers[upscaler_index]
@@ -34,9 +37,9 @@ class Script(scripts.Script): seed = p.seed
init_img = p.init_images[0]
-
- if(upscaler.name != "None"):
- img = upscaler.scaler.upscale(init_img, 2, upscaler.data_path)
+
+ if (upscaler.name != "None"):
+ img = upscaler.scaler.upscale(init_img, scale_factor, upscaler.data_path)
else:
img = init_img
@@ -59,7 +62,8 @@ class Script(scripts.Script): batch_count = math.ceil(len(work) / batch_size)
state.job_count = batch_count * upscale_count
- print(f"SD upscaling will process a total of {len(work)} images tiled as {len(grid.tiles[0][2])}x{len(grid.tiles)} per upscale in a total of {state.job_count} batches.")
+ print(
+ f"SD upscaling will process a total of {len(work)} images tiled as {len(grid.tiles[0][2])}x{len(grid.tiles)} per upscale in a total of {state.job_count} batches.")
result_images = []
for n in range(upscale_count):
@@ -69,7 +73,7 @@ class Script(scripts.Script): work_results = []
for i in range(batch_count):
p.batch_size = batch_size
- p.init_images = work[i*batch_size:(i+1)*batch_size]
+ p.init_images = work[i * batch_size:(i + 1) * batch_size]
state.job = f"Batch {i + 1 + n * batch_count} out of {state.job_count}"
processed = processing.process_images(p)
@@ -83,15 +87,17 @@ class Script(scripts.Script): image_index = 0
for y, h, row in grid.tiles:
for tiledata in row:
- tiledata[2] = work_results[image_index] if image_index < len(work_results) else Image.new("RGB", (p.width, p.height))
+ tiledata[2] = work_results[image_index] if image_index < len(work_results) else Image.new("RGB", (
+ p.width, p.height))
image_index += 1
combined_image = images.combine_grid(grid)
result_images.append(combined_image)
if opts.samples_save:
- images.save_image(combined_image, p.outpath_samples, "", start_seed, p.prompt, opts.samples_format, info=initial_info, p=p)
+ images.save_image(combined_image, p.outpath_samples, "", start_seed, p.prompt, opts.samples_format,
+ info=initial_info, p=p)
processed = Processed(p, result_images, seed, initial_info)
- return processed
+ return processed
\ No newline at end of file |