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sygil-webui/configs/webui/webui_streamlit.yaml

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- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
# UI defaults configuration file. It is automatically loaded if located at configs/webui/webui_streamlit.yaml.
# Any changes made here will be available automatically on the web app without having to stop it.
Move location of user file to configs/webui folder
2022-09-09 10:44:35 +03:00
# You may add overrides in a file named "userconfig_streamlit.yaml" in this folder, which can contain any subset
# of the properties below.
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
general:
gpu: 0
outdir: outputs
- Added option to select custom models instead of just using the default 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.
2022-09-08 15:33:45 +03:00
default_model: "Stable Diffusion v1.4"
default_model_config: "configs/stable-diffusion/v1-inference.yaml"
default_model_path: "models/ldm/stable-diffusion-v1/model.ckpt"
Added a config option to use embeddings from the huggingface stable diffusion concept library.
2022-09-18 01:25:55 +03:00
use_sd_concepts_library: True
sd_concepts_library_folder: "models/custom/sd-concepts-library"
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
GFPGAN_dir: "./src/gfpgan"
RealESRGAN_dir: "./src/realesrgan"
RealESRGAN_model: "RealESRGAN_x4plus"
- Added the functions to load the optimized models, this "should" make it so optimized and turbo mode work now but needs to be tested more. - Added function to load LDSR.
2022-09-14 12:45:18 +03:00
LDSR_dir: "./src/latent-diffusion"
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
outdir_txt2img: outputs/txt2img-samples
outdir_img2img: outputs/img2img-samples
gfpgan_cpu: False
esrgan_cpu: False
extra_models_cpu: False
extra_models_gpu: False
save_metadata: True
Added some basic layout for the Model Manager tab and added there the models that most people use to make it easy to download instead of having to go do the wiki or searching through discord for links, it also shows the path where you are supposed to put those models for them to work.
2022-09-11 13:35:14 +03:00
save_format: "png"
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
skip_grid: False
skip_save: False
grid_format: "jpg:95"
n_rows: -1
no_verify_input: False
no_half: False
- Fixed max_frame not being properly used and instead sampling_steps was the variable being use. - Fixed several issues with wrong variable being used on multiple places. - Addd option to toggle some extra option from the config file for when the model is loading on the txt2vid tab.
2022-09-14 21:06:52 +03:00
use_float16: False
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
precision: "autocast"
optimized: False
optimized_turbo: False
fix: [streamlit] optimization mode
2022-09-14 18:22:24 +03:00
optimized_config: "optimizedSD/v1-inference.yaml"
Added option to enable enable_attention_slicing and enable_minimal_memory_usage, this for now only works on txt2vid which uses diffusers.
2022-09-18 02:49:42 +03:00
enable_attention_slicing: False
enable_minimal_memory_usage : False
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
update_preview: True
Changed Streamit yaml default configs 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.
2022-09-09 08:59:23 +03:00
update_preview_frequency: 5
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
txt2img:
prompt:
height: 512
width: 512
- Added option to select custom models instead of just using the default 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.
2022-09-08 15:33:45 +03:00
cfg_scale: 7.5
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
seed: ""
batch_count: 1
batch_size: 1
Changed StreamIt to `k_euler` 30 steps as default
2022-09-10 05:39:33 +03:00
sampling_steps: 30
default_sampler: "k_euler"
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
separate_prompts: False
-Added the Update Image Preview option to be part of the current tab options under Preview Settings. - Added Dynamic Preview Frequency option for the txt2vid tab which tries to find the lowest value for update_preview_frequency at which we can update the preview image during generation while at the same time minimizing the impact it has in performance. - Added option to save a video file on the outputs/txt2vid-samples folder after the generation is complete similar to how the save_grid option works on other tabs. - Added a video preview which shows a video on the txt2vid tab when the generation is completed. - Formated some lines of code to make it use less space and fit on the a single screen. - Added a script called Settings.py to the script folder in which Settings for the Setting page will be placed. Empty for now.
2022-09-12 21:44:00 +03:00
update_preview: True
update_preview_frequency: 5
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
normalize_prompt_weights: True
save_individual_images: True
save_grid: True
group_by_prompt: True
save_as_jpg: False
Changed Streamit yaml default configs 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.
2022-09-09 08:59:23 +03:00
use_GFPGAN: False
use_RealESRGAN: False
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
RealESRGAN_model: "RealESRGAN_x4plus"
variant_amount: 0.0
variant_seed: ""
Made sure img2txt and img2img checkboxes respect YAML defaults
2022-09-09 09:50:33 +03:00
write_info_files: True
slider_steps and slider_bounds in defaults config slider_steps and slider_bounds in defaults config
2022-09-18 14:17:57 +03:00
slider_steps: {
sampling: 1
}
slider_bounds: {
sampling: {
lower: 1,
upper: 150
}
}
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
- Added option to select custom models instead of just using the default 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.
2022-09-08 15:33:45 +03:00
txt2vid:
Multiple improvements to the txt2vid tab. - Improved txt2vid speed by 2 times. - Added DDIM scheduler. - Added sliders for beta_start and beta_end to have more control over these parameters on the scheduler. - Added option to select the scheduler type from scaled_linear or linear. - Added option to save info files for the txt2vid tab and improved the information saved to include most of the parameters used to run the generation. - You can now download any model from the huggingface website to use on the txt2vid tab, just add the name to the custom_models_list on the config file.
2022-09-11 20:42:17 +03:00
default_model: "CompVis/stable-diffusion-v1-4"
custom_models_list: ["CompVis/stable-diffusion-v1-4", "naclbit/trinart_stable_diffusion_v2", "hakurei/waifu-diffusion", "osanseviero/BigGAN-deep-128"]
- Added option to select custom models instead of just using the default 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.
2022-09-08 15:33:45 +03:00
prompt:
height: 512
width: 512
cfg_scale: 7.5
seed: ""
batch_count: 1
batch_size: 1
Changed StreamIt to `k_euler` 30 steps as default
2022-09-10 05:39:33 +03:00
sampling_steps: 30
Added num_inference_steps to config file and fixed incorrectly calls to the config file from the txt2vid tab calling txt2img instead.
2022-09-08 15:51:22 +03:00
num_inference_steps: 200
Changed StreamIt to `k_euler` 30 steps as default
2022-09-10 05:39:33 +03:00
default_sampler: "k_euler"
Multiple improvements to the txt2vid tab. - Improved txt2vid speed by 2 times. - Added DDIM scheduler. - Added sliders for beta_start and beta_end to have more control over these parameters on the scheduler. - Added option to select the scheduler type from scaled_linear or linear. - Added option to save info files for the txt2vid tab and improved the information saved to include most of the parameters used to run the generation. - You can now download any model from the huggingface website to use on the txt2vid tab, just add the name to the custom_models_list on the config file.
2022-09-11 20:42:17 +03:00
scheduler_name: "klms"
- Added option to select custom models instead of just using the default 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.
2022-09-08 15:33:45 +03:00
separate_prompts: False
-Added the Update Image Preview option to be part of the current tab options under Preview Settings. - Added Dynamic Preview Frequency option for the txt2vid tab which tries to find the lowest value for update_preview_frequency at which we can update the preview image during generation while at the same time minimizing the impact it has in performance. - Added option to save a video file on the outputs/txt2vid-samples folder after the generation is complete similar to how the save_grid option works on other tabs. - Added a video preview which shows a video on the txt2vid tab when the generation is completed. - Formated some lines of code to make it use less space and fit on the a single screen. - Added a script called Settings.py to the script folder in which Settings for the Setting page will be placed. Empty for now.
2022-09-12 21:44:00 +03:00
update_preview: True
update_preview_frequency: 5
dynamic_preview_frequency: True
- Added option to select custom models instead of just using the default 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.
2022-09-08 15:33:45 +03:00
normalize_prompt_weights: True
save_individual_images: True
Renamed the save_grid option for txt2vid on the config file to be save_video, this will be used to determine if the user wants to save a video at the end of the generation or not, similar to the save_grid that is used on txt2img and img2img but for video.
2022-09-12 18:11:52 +03:00
save_video: True
- Added option to select custom models instead of just using the default 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.
2022-09-08 15:33:45 +03:00
group_by_prompt: True
Multiple improvements to the txt2vid tab. - Improved txt2vid speed by 2 times. - Added DDIM scheduler. - Added sliders for beta_start and beta_end to have more control over these parameters on the scheduler. - Added option to select the scheduler type from scaled_linear or linear. - Added option to save info files for the txt2vid tab and improved the information saved to include most of the parameters used to run the generation. - You can now download any model from the huggingface website to use on the txt2vid tab, just add the name to the custom_models_list on the config file.
2022-09-11 20:42:17 +03:00
write_info_files: True
do_loop: False
- Added option to select custom models instead of just using the default 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.
2022-09-08 15:33:45 +03:00
save_as_jpg: False
use_GFPGAN: False
Changed Streamit yaml default configs 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.
2022-09-09 08:59:23 +03:00
use_RealESRGAN: False
- Added option to select custom models instead of just using the default 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.
2022-09-08 15:33:45 +03:00
RealESRGAN_model: "RealESRGAN_x4plus"
variant_amount: 0.0
variant_seed: ""
Multiple improvements to the txt2vid tab. - Improved txt2vid speed by 2 times. - Added DDIM scheduler. - Added sliders for beta_start and beta_end to have more control over these parameters on the scheduler. - Added option to select the scheduler type from scaled_linear or linear. - Added option to save info files for the txt2vid tab and improved the information saved to include most of the parameters used to run the generation. - You can now download any model from the huggingface website to use on the txt2vid tab, just add the name to the custom_models_list on the config file.
2022-09-11 20:42:17 +03:00
beta_start: 0.00085
beta_end: 0.012
-Added the Update Image Preview option to be part of the current tab options under Preview Settings. - Added Dynamic Preview Frequency option for the txt2vid tab which tries to find the lowest value for update_preview_frequency at which we can update the preview image during generation while at the same time minimizing the impact it has in performance. - Added option to save a video file on the outputs/txt2vid-samples folder after the generation is complete similar to how the save_grid option works on other tabs. - Added a video preview which shows a video on the txt2vid tab when the generation is completed. - Formated some lines of code to make it use less space and fit on the a single screen. - Added a script called Settings.py to the script folder in which Settings for the Setting page will be placed. Empty for now.
2022-09-12 21:44:00 +03:00
beta_scheduler_type: "linear"
- Added option to select custom models instead of just using the default 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.
2022-09-08 15:33:45 +03:00
max_frames: 1000
slider_steps and slider_bounds in defaults config slider_steps and slider_bounds in defaults config
2022-09-18 14:17:57 +03:00
slider_steps: {
sampling: 1
}
slider_bounds: {
sampling: {
lower: 1,
upper: 150
}
}
- Added option to select custom models instead of just using the default 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.
2022-09-08 15:33:45 +03:00
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
img2img:
slider_steps and slider_bounds in defaults config slider_steps and slider_bounds in defaults config
2022-09-18 14:17:57 +03:00
prompt:
sampling_steps: 30
# Adding an int to toggles enables the corresponding feature.
# 0: Create prompt matrix (separate multiple prompts using |, and get all combinations of them)
# 1: Normalize Prompt Weights (ensure sum of weights add up to 1.0)
# 2: Loopback (use images from previous batch when creating next batch)
# 3: Random loopback seed
# 4: Save individual images
# 5: Save grid
# 6: Sort samples by prompt
# 7: Write sample info files
# 8: jpg samples
# 9: Fix faces using GFPGAN
# 10: Upscale images using Real-ESRGAN
sampler_name: "k_euler"
denoising_strength: 0.75
# 0: Keep masked area
# 1: Regenerate only masked area
mask_mode: 0
mask_restore: False
# 0: Just resize
# 1: Crop and resize
# 2: Resize and fill
resize_mode: 0
# Leave blank for random seed:
seed: ""
ddim_eta: 0.0
cfg_scale: 7.5
batch_count: 1
batch_size: 1
height: 512
width: 512
# Textual inversion embeddings file path:
fp: ""
loopback: True
random_seed_loopback: True
separate_prompts: False
update_preview: True
update_preview_frequency: 5
normalize_prompt_weights: True
save_individual_images: True
save_grid: True
group_by_prompt: True
save_as_jpg: False
use_GFPGAN: False
use_RealESRGAN: False
RealESRGAN_model: "RealESRGAN_x4plus"
variant_amount: 0.0
variant_seed: ""
write_info_files: True
slider_steps: {
sampling: 1
}
slider_bounds: {
sampling: {
lower: 1,
upper: 150
}
}
- Removed duplicated calls to save_sample. - Change variables and arguments to be more self-explanatory and easier to understand what they do.
2022-09-07 05:30:04 +03:00
gfpgan:
Remove embeddings file path
2022-09-10 00:03:20 +03:00
strength: 100
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