michael/stable-diffusion-webui
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set firstpass w/h to 0 by default and rever to old behavior when any are 0

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AUTOMATIC 2022-10-14 23:19:05 +03:00
parent cd58e44051
commit 368f4cc4c7
2 changed files with 32 additions and 21 deletions
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49
modules/processing.py
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@ -501,17 +501,15 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
sampler = None
firstphase_width = 0
firstphase_height = 0
firstphase_width_truncated = 0
firstphase_height_truncated = 0
def __init__(self, enable_hr=False, denoising_strength=0.75, firstphase_width=512, firstphase_height=512, **kwargs):
def __init__(self, enable_hr=False, denoising_strength=0.75, firstphase_width=0, firstphase_height=0, **kwargs):
super().__init__(**kwargs)
self.enable_hr = enable_hr
self.denoising_strength = denoising_strength
self.firstphase_width = firstphase_width
self.firstphase_height = firstphase_height
self.truncate_x = 0
self.truncate_y = 0
def init(self, all_prompts, all_seeds, all_subseeds):
if self.enable_hr:
@ -520,6 +518,32 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
else:
state.job_count = state.job_count * 2
if self.firstphase_width == 0 or self.firstphase_height == 0:
desired_pixel_count = 512 * 512
actual_pixel_count = self.width * self.height
scale = math.sqrt(desired_pixel_count / actual_pixel_count)
self.firstphase_width = math.ceil(scale * self.width / 64) * 64
self.firstphase_height = math.ceil(scale * self.height / 64) * 64
firstphase_width_truncated = int(scale * self.width)
firstphase_height_truncated = int(scale * self.height)
else:
self.extra_generation_params["First pass size"] = f"{self.firstphase_width}x{self.firstphase_height}"
width_ratio = self.width / self.firstphase_width
height_ratio = self.height / self.firstphase_height
if width_ratio > height_ratio:
firstphase_width_truncated = self.firstphase_width
firstphase_height_truncated = self.firstphase_width * self.height / self.width
else:
firstphase_width_truncated = self.firstphase_height * self.width / self.height
firstphase_height_truncated = self.firstphase_height
self.truncate_x = int(self.firstphase_width - firstphase_width_truncated) // opt_f
self.truncate_y = int(self.firstphase_height - firstphase_height_truncated) // opt_f
def sample(self, conditioning, unconditional_conditioning, seeds, subseeds, subseed_strength):
self.sampler = sd_samplers.create_sampler_with_index(sd_samplers.samplers, self.sampler_index, self.sd_model)
@ -528,23 +552,10 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning)
return samples
self.extra_generation_params["First pass size"] = f"{self.firstphase_width}x{self.firstphase_height}"
x = create_random_tensors([opt_C, self.firstphase_height // opt_f, self.firstphase_width // opt_f], seeds=seeds, subseeds=subseeds, subseed_strength=self.subseed_strength, seed_resize_from_h=self.seed_resize_from_h, seed_resize_from_w=self.seed_resize_from_w, p=self)
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning)
truncate_x = 0
truncate_y = 0
width_ratio = self.width/self.firstphase_width
height_ratio = self.height/self.firstphase_height
if width_ratio > height_ratio:
truncate_y = int((self.width - self.firstphase_width) / width_ratio / height_ratio / opt_f)
elif width_ratio < height_ratio:
truncate_x = int((self.height - self.firstphase_height) / width_ratio / height_ratio / opt_f)
samples = samples[:, :, truncate_y//2:samples.shape[2]-truncate_y//2, truncate_x//2:samples.shape[3]-truncate_x//2]
samples = samples[:, :, self.truncate_y//2:samples.shape[2]-self.truncate_y//2, self.truncate_x//2:samples.shape[3]-self.truncate_x//2]
decoded_samples = decode_first_stage(self.sd_model, samples)

4
modules/ui.py
View file

@ -567,8 +567,8 @@ def create_ui(wrap_gradio_gpu_call):
enable_hr = gr.Checkbox(label='Highres. fix', value=False)
with gr.Row(visible=False) as hr_options:
firstphase_width = gr.Slider(minimum=64, maximum=1024, step=64, label="First pass width", value=512)
firstphase_height = gr.Slider(minimum=64, maximum=1024, step=64, label="First pass height", value=512)
firstphase_width = gr.Slider(minimum=0, maximum=1024, step=64, label="First pass width", value=0)
firstphase_height = gr.Slider(minimum=0, maximum=1024, step=64, label="First pass height", value=0)
denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.7)
with gr.Row(equal_height=True):