The Merge #1201
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The Merge #1201
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…ult one, if you want to use a custom model just place your .ckpt file in "models/custom" and the UI will detect it and let you switch between stable diffusion and your custom model, make sure to give the filename a proper name that is easy to distinguish from other models because that name will be used on the UI. - Implemented basic Text To Video tab, will continue to improve it as it is really basic right now. - Improved the model loading, you now should see less frequently errors about it not been loaded correctly.
Added option to support custom models and implemented basic Text To Video tab.
refactor js_Call hook to take all gradio arguments
…to the config file from the txt2vid tab calling txt2img instead.
Added "num_inference_steps" to config file and fixed some small bugs.
I want people of all skill levels to be able to contribute This is one way the code could be split up with the aim of making it easy to understand and contribute especially for people on the lower end of the skill spectrum All i've done is split things, I think renaming and reorganising is still needed
Changed `update_preview_frequency` from every 1 step to every 5 steps. This results in a massive gain in performance (roughly going from 2-3 times slower to only 10-15% slower) while still showing good image generation output. Changed default GFPGAN and realESRGAN settings to be off by default. That way, users can decide if they want to use them on, and what images they wish to do so.
Streamlit: Fix loading of YAML defaults and allow user defaults to be specified in a userconfig_stream…
Fixed the user config path in webui_streamlit.py
* automate conda_env_name as per name in yaml * Embed installation links directly in README.md Include links to Windows, Linux, and Google Colab installations. * Fix conda update in webui.sh for pip bug * Add info about new PRs Co-authored-by: Hafiidz <3688500+Hafiidz@users.noreply.github.com> Co-authored-by: Tom Pham <54967380+TomPham97@users.noreply.github.com> Co-authored-by: GRMrGecko <grmrgecko@gmail.com>
Improvements to the txt2vid tab.
Urgent Fix to PR:860
Fix errors on early termination
This is a collection of several changes to enhance image display: * When using GFPGAN or RealESRGAN, only the final output will be displayed. * In batch>1 mode, each final image will be collected into an image grid for display * The image is constrained to a reasonable size to ensure that batch grids of RealESRGAN'd images don't end up spitting out a massive image that the browser then has to handle. * Additionally, the progress bar indicator is updated as each image is post-processed.
Better handling for final displays of images
…iffusion concept library.
Added a config option to use embeddings from the huggingface stable diffusion concept library.
…mory_usage, this for now only works on txt2vid which uses diffusers.
Added option to enable enable_attention_slicing and enable_minimal_memory_usage, this for now only works on txt2vid which uses diffusers.
Basic implementation for the Concept Library tab made by cloning the Home tab.
# Conflicts: # .gitignore # README.md # configs/webui/webui_streamlit.yaml # environment.yaml # frontend/css/streamlit.main.css # frontend/frontend.py # scripts/webui_streamlit.py
Used loaded_model state variable in .yaml generation
* Some options on the Streamlit txt2img page now follow the defaults from the relevant config files. * Fixed a copy-paste gone wrong in my previous commit. * st.session_state["defaults"] fix Co-authored-by: hlky <106811348+hlky@users.noreply.github.com>
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@hlky squash it 😂 |
slider_steps and slider_bounds in defaults config
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