sd-webui/stable-diffusion-webui
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Changed some more text_input to number_input and made sure they return the right value type.

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This commit is contained in:
ZeroCool940711 2022-10-07 17:57:06 -07:00
parent 45976077c0
commit 55b39b53bc
3 changed files with 22 additions and 22 deletions
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4
scripts/Settings.py
View File

@ -754,7 +754,7 @@ def layout():
st.session_state["defaults"].txt2vid.beta_start.step = st.number_input("txt2vid Beta Start Slider Steps", value=st.session_state['defaults'].txt2vid.beta_start.step,
help="Set the default value for the number of steps on the variation slider. Default is: 1")
st.session_state["defaults"].txt2vid.beta_start.format = st.text_input("Default txt2vid Beta Start Format", value=st.session_state['defaults'].txt2vid.beta_start.format,
st.session_state["defaults"].txt2vid.beta_start.format = st.number_input("Default txt2vid Beta Start Format", value=st.session_state['defaults'].txt2vid.beta_start.format,
help="Set the default Beta Start Format. Default is: %.5\f")
# Beta End
@ -770,7 +770,7 @@ def layout():
st.session_state["defaults"].txt2vid.beta_end.step = st.number_input("txt2vid Beta End Slider Steps", value=st.session_state['defaults'].txt2vid.beta_end.step,
help="Set the default value for the number of steps on the variation slider. Default is: 1")
st.session_state["defaults"].txt2vid.beta_end.format = st.text_input("Default txt2vid Beta End Format", value=st.session_state['defaults'].txt2vid.beta_start.format,
st.session_state["defaults"].txt2vid.beta_end.format = st.number_input("Default txt2vid Beta End Format", value=st.session_state['defaults'].txt2vid.beta_start.format,
help="Set the default Beta Start Format. Default is: %.5\f")
with image_processing:

20
scripts/img2img.py
View File

@ -436,13 +436,13 @@ def layout():
step=st.session_state['defaults'].img2img.find_noise_steps.step)
with st.expander("Batch Options"):
st.session_state["batch_count"] = int(st.text_input("Batch count.", value=st.session_state['defaults'].img2img.batch_count.value,
help="How many iterations or batches of images to generate in total."))
st.session_state["batch_count"] = st.number_input("Batch count.", value=st.session_state['defaults'].img2img.batch_count.value,
help="How many iterations or batches of images to generate in total.")
st.session_state["batch_size"] = int(st.text_input("Batch size", value=st.session_state.defaults.img2img.batch_size.value,
st.session_state["batch_size"] = st.number_input("Batch size", value=st.session_state.defaults.img2img.batch_size.value,
help="How many images are at once in a batch.\
It increases the VRAM usage a lot but if you have enough VRAM it can reduce the time it takes to finish generation as more images are generated at once.\
Default: 1"))
Default: 1")
with st.expander("Preview Settings"):
st.session_state["update_preview"] = st.session_state["defaults"].general.update_preview
@ -546,14 +546,14 @@ def layout():
st.session_state["LDSR_model"] = st.selectbox("LDSR model", st.session_state["LDSR_models"],
index=st.session_state["LDSR_models"].index(st.session_state['defaults'].general.LDSR_model))
st.session_state["ldsr_sampling_steps"] = int(st.text_input("Sampling Steps", value=st.session_state['defaults'].img2img.LDSR_config.sampling_steps,
help=""))
st.session_state["ldsr_sampling_steps"] = st.number_input("Sampling Steps", value=st.session_state['defaults'].img2img.LDSR_config.sampling_steps,
help="")
st.session_state["preDownScale"] = int(st.text_input("PreDownScale", value=st.session_state['defaults'].img2img.LDSR_config.preDownScale,
help=""))
st.session_state["preDownScale"] = st.number_input("PreDownScale", value=st.session_state['defaults'].img2img.LDSR_config.preDownScale,
help="")
st.session_state["postDownScale"] = int(st.text_input("postDownScale", value=st.session_state['defaults'].img2img.LDSR_config.postDownScale,
help=""))
st.session_state["postDownScale"] = st.number_input("postDownScale", value=st.session_state['defaults'].img2img.LDSR_config.postDownScale,
help="")
downsample_method_list = ['Nearest', 'Lanczos']
st.session_state["downsample_method"] = st.selectbox("Downsample Method", downsample_method_list,

20
scripts/txt2img.py
View File

@ -210,14 +210,14 @@ def layout():
#It increases the VRAM usage a lot but if you have enough VRAM it can reduce the time it takes to finish generation as more images are generated at once.\
#Default: 1")
st.session_state["batch_count"] = int(st.text_input("Batch count.", value=st.session_state['defaults'].txt2img.batch_count.value,
help="How many iterations or batches of images to generate in total."))
st.session_state["batch_count"] = st.number_input("Batch count.", value=st.session_state['defaults'].txt2img.batch_count.value,
help="How many iterations or batches of images to generate in total.")
st.session_state["batch_size"] = int(st.text_input("Batch size", value=st.session_state.defaults.txt2img.batch_size.value,
st.session_state["batch_size"] = st.number_input("Batch size", value=st.session_state.defaults.txt2img.batch_size.value,
help="How many images are at once in a batch.\
It increases the VRAM usage a lot but if you have enough VRAM it can reduce the time it takes \
to finish generation as more images are generated at once.\
Default: 1") )
Default: 1")
with st.expander("Preview Settings"):
@ -368,14 +368,14 @@ def layout():
st.session_state["LDSR_model"] = st.selectbox("LDSR model", st.session_state["LDSR_models"],
index=st.session_state["LDSR_models"].index(st.session_state['defaults'].general.LDSR_model))
st.session_state["ldsr_sampling_steps"] = int(st.text_input("Sampling Steps", value=st.session_state['defaults'].txt2img.LDSR_config.sampling_steps,
help=""))
st.session_state["ldsr_sampling_steps"] = st.number_input("Sampling Steps", value=st.session_state['defaults'].txt2img.LDSR_config.sampling_steps,
help="")
st.session_state["preDownScale"] = int(st.text_input("PreDownScale", value=st.session_state['defaults'].txt2img.LDSR_config.preDownScale,
help=""))
st.session_state["preDownScale"] = st.number_input("PreDownScale", value=st.session_state['defaults'].txt2img.LDSR_config.preDownScale,
help="")
st.session_state["postDownScale"] = int(st.text_input("postDownScale", value=st.session_state['defaults'].txt2img.LDSR_config.postDownScale,
help=""))
st.session_state["postDownScale"] = st.number_input("postDownScale", value=st.session_state['defaults'].txt2img.LDSR_config.postDownScale,
help="")
downsample_method_list = ['Nearest', 'Lanczos']
st.session_state["downsample_method"] = st.selectbox("Downsample Method", downsample_method_list,