Sygil-Dev/sygil-webui
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Merge pull request #804 from ZeroCool940711/dev

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Added try and except block for basic error handling.
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ZeroCool 2022-09-07 18:06:30 -07:00 committed by GitHub
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1 changed files with 27 additions and 28 deletions
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scripts/webui_streamlit.py
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@ -1501,7 +1501,7 @@ def layout():
txt2img_tab, img2img_tab, postprocessing_tab = st.tabs(["Stable Diffusion Text-to-Image Unified", "Stable Diffusion Image-to-Image Unified", "Post-Processing"])
txt2img_tab, img2img_tab, txt2video, postprocessing_tab = st.tabs(["Text-to-Image Unified", "Image-to-Image Unified", "Text-to-Video","Post-Processing"])
with txt2img_tab:
with st.form("txt2img-inputs"):
@ -1600,20 +1600,20 @@ def layout():
# load the models when we hit the generate button for the first time, it wont be loaded after that so dont worry.
load_models(False, use_GFPGAN, use_RealESRGAN, RealESRGAN_model)
#try:
output_images, seed, info, stats = txt2img(prompt, st.session_state.sampling_steps, sampler_name, RealESRGAN_model, batch_count, 1,
cfg_scale, seed, height, width, separate_prompts, normalize_prompt_weights, save_individual_images,
save_grid, group_by_prompt, save_as_jpg, use_GFPGAN, use_RealESRGAN, RealESRGAN_model, fp=defaults.general.fp,
variant_amount=variant_amount, variant_seed=variant_seed, write_info_files=write_info_files)
try:
output_images, seed, info, stats = txt2img(prompt, st.session_state.sampling_steps, sampler_name, RealESRGAN_model, batch_count, 1,
cfg_scale, seed, height, width, separate_prompts, normalize_prompt_weights, save_individual_images,
save_grid, group_by_prompt, save_as_jpg, use_GFPGAN, use_RealESRGAN, RealESRGAN_model, fp=defaults.general.fp,
variant_amount=variant_amount, variant_seed=variant_seed, write_info_files=write_info_files)
message.success('Done!', icon="✅")
message.success('Done!', icon="✅")
#except (StopException, KeyError):
#print(f"Received Streamlit StopException")
except (StopException, KeyError):
print(f"Received Streamlit StopException")
# this will render all the images at the end of the generation but its better if its moved to a second tab inside col2 and shown as a gallery.
# use the current col2 first tab to show the preview_img and update it as its generated.
#preview_image.image(output_images, width=750)
#preview_image.image(output_images)
with img2img_tab:
with st.form("img2img-inputs"):
@ -1729,24 +1729,23 @@ def layout():
new_img = image.resize((width, height))
#img_array = np.array(image) # if you want to pass it to OpenCV
#try:
#output_images, seed, info, stats = img2img(prompt=prompt, init_info=new_img, ddim_steps=sampling_steps, sampler_name=sampler_name, n_iter=batch_count)
output_images, seed, info, stats = img2img(prompt=prompt, init_info=new_img, ddim_steps=st.session_state["sampling_steps"],
sampler_name=st.session_state["sampler_name"], n_iter=batch_count,
cfg_scale=cfg_scale, denoising_strength=st.session_state["denoising_strength"], variant_seed=variant_seed,
seed=seed, width=width, height=height, fp=defaults.general.fp, variant_amount=variant_amount,
ddim_eta=0.0, write_info_files=write_info_files, RealESRGAN_model=RealESRGAN_model,
separate_prompts=separate_prompts, normalize_prompt_weights=normalize_prompt_weights,
save_individual_images=save_individual_images, save_grid=save_grid,
group_by_prompt=group_by_prompt, save_as_jpg=save_as_jpg, use_GFPGAN=use_GFPGAN,
use_RealESRGAN=use_RealESRGAN if not loopback else False, loopback=loopback
)
try:
output_images, seed, info, stats = img2img(prompt=prompt, init_info=new_img, ddim_steps=st.session_state["sampling_steps"],
sampler_name=st.session_state["sampler_name"], n_iter=batch_count,
cfg_scale=cfg_scale, denoising_strength=st.session_state["denoising_strength"], variant_seed=variant_seed,
seed=seed, width=width, height=height, fp=defaults.general.fp, variant_amount=variant_amount,
ddim_eta=0.0, write_info_files=write_info_files, RealESRGAN_model=RealESRGAN_model,
separate_prompts=separate_prompts, normalize_prompt_weights=normalize_prompt_weights,
save_individual_images=save_individual_images, save_grid=save_grid,
group_by_prompt=group_by_prompt, save_as_jpg=save_as_jpg, use_GFPGAN=use_GFPGAN,
use_RealESRGAN=use_RealESRGAN if not loopback else False, loopback=loopback
)
#show a message when the generation is complete.
message.success('Done!', icon="✅")
#show a message when the generation is complete.
message.success('Done!', icon="✅")
#except:
#print(f"Received Streamlit StopException")
except (StopException, KeyError):
print(f"Received Streamlit StopException")
# this will render all the images at the end of the generation but its better if its moved to a second tab inside col2 and shown as a gallery.
# use the current col2 first tab to show the preview_img and update it as its generated.