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cleanup

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Vladimir Mandic
2023-09-11 09:55:28 -04:00
parent 1f730b129f
commit 2f071c6586
4 changed files with 2 additions and 3 deletions
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modules/processing.py
-1
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@@ -212,7 +212,6 @@ class StableDiffusionProcessing:
conditioning_mask = np.array(image_mask.convert("L"))
conditioning_mask = conditioning_mask.astype(np.float32) / 255.0
conditioning_mask = torch.from_numpy(conditioning_mask[None, None])
# Inpainting model uses a discretized mask as input, so we round to either 1.0 or 0.0
conditioning_mask = torch.round(conditioning_mask)
else:
modules/ui.py
+1 -1
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@@ -391,7 +391,7 @@ def create_ui(startup_timer = None):
with FormGroup(visible=show_second_pass.value, elem_id="txt2img_second_pass") as second_pass_group:
with FormRow(elem_id="sampler_selection_txt2img_alt_row1"):
latent_index = gr.Dropdown(label='Secondary sampler', elem_id="txt2img_sampling_alt", choices=[x.name for x in modules.sd_samplers.samplers], value='Default', type="index")
denoising_strength = gr.Slider(minimum=0.05, maximum=1.0, step=0.01, label='Denoising strength', value=0.3, elem_id="txt2img_denoising_strength")
denoising_strength = gr.Slider(minimum=0.05, maximum=1.0, step=0.01, label='Denoising strength', value=0.5, elem_id="txt2img_denoising_strength")
with FormRow(elem_id="txt2img_hires_finalres", variant="compact"):
hr_final_resolution = FormHTML(value="", elem_id="txtimg_hr_finalres", label="Upscaled resolution", interactive=False)
with FormRow(elem_id="txt2img_hires_fix_row1", variant="compact"):