remove scale latent and no-crop options from hires fix

support copy-pasting new parameters for hires fix
This commit is contained in:
AUTOMATIC
2022-10-14 17:03:03 +03:00
parent b382de2d77
commit e644b5a80b
3 changed files with 33 additions and 55 deletions

View File

@@ -540,16 +540,9 @@ def create_ui(wrap_gradio_gpu_call):
enable_hr = gr.Checkbox(label='Highres. fix', value=False)
with gr.Row(visible=False) as hr_options:
with gr.Column(scale=1.0):
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)
with gr.Column(scale=1.0):
with gr.Row():
crop_scale = gr.Checkbox(label='Crop when scaling', value=False)
scale_latent = gr.Checkbox(label='Scale latent', value=False)
with gr.Row():
denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.7)
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)
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):
batch_count = gr.Slider(minimum=1, step=1, label='Batch count', value=1)
@@ -610,11 +603,9 @@ def create_ui(wrap_gradio_gpu_call):
height,
width,
enable_hr,
scale_latent,
denoising_strength,
firstphase_width,
firstphase_height,
crop_scale,
] + custom_inputs,
outputs=[
txt2img_gallery,
@@ -679,8 +670,8 @@ def create_ui(wrap_gradio_gpu_call):
(denoising_strength, "Denoising strength"),
(enable_hr, lambda d: "Denoising strength" in d),
(hr_options, lambda d: gr.Row.update(visible="Denoising strength" in d)),
(firstphase_width, "First pass width"),
(firstphase_height, "First pass height"),
(firstphase_width, "First pass size-1"),
(firstphase_height, "First pass size-2"),
]
modules.generation_parameters_copypaste.connect_paste(paste, txt2img_paste_fields, txt2img_prompt)
token_button.click(fn=update_token_counter, inputs=[txt2img_prompt, steps], outputs=[token_counter])