Sygil-Dev/sygil-webui
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Added try and except block to handle basic errors like StopException which is raised by streamlit when you hit the stop button and KeyError which happens also when stopping the generation because it tries to check the model at the end which is not loaded at that time, this can be ignored and so thats the reason for the exception.

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ZeroCool940711 2022-09-07 18:03:39 -07:00
parent 1d4351ce91
commit c0e02742e3
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.