mirror of
https://github.com/Sygil-Dev/sygil-webui.git
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153 lines
4.2 KiB
YAML
153 lines
4.2 KiB
YAML
# UI defaults configuration file. It is automatically loaded if located at configs/webui/webui_streamlit.yaml.
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# Any changes made here will be available automatically on the web app without having to stop it.
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# You may add overrides in a file named "userconfig_streamlit.yaml" in this folder, which can contain any subset
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# of the properties below.
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general:
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gpu: 0
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outdir: outputs
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default_model: "Stable Diffusion v1.4"
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default_model_config: "configs/stable-diffusion/v1-inference.yaml"
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default_model_path: "models/ldm/stable-diffusion-v1/model.ckpt"
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fp:
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name: ''
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GFPGAN_dir: "./src/gfpgan"
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RealESRGAN_dir: "./src/realesrgan"
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RealESRGAN_model: "RealESRGAN_x4plus"
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LDSR_dir: "./src/latent-diffusion"
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outdir_txt2img: outputs/txt2img-samples
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outdir_img2img: outputs/img2img-samples
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gfpgan_cpu: False
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esrgan_cpu: False
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extra_models_cpu: False
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extra_models_gpu: False
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save_metadata: True
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save_format: "png"
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skip_grid: False
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skip_save: False
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grid_format: "jpg:95"
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n_rows: -1
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no_verify_input: False
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no_half: False
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use_float16: False
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precision: "autocast"
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optimized: False
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optimized_turbo: False
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optimized_config: "optimizedSD/v1-inference.yaml"
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update_preview: True
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update_preview_frequency: 5
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txt2img:
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prompt:
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height: 512
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width: 512
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cfg_scale: 7.5
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seed: ""
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batch_count: 1
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batch_size: 1
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sampling_steps: 30
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default_sampler: "k_euler"
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separate_prompts: False
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update_preview: True
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update_preview_frequency: 5
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normalize_prompt_weights: True
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save_individual_images: True
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save_grid: True
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group_by_prompt: True
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save_as_jpg: False
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use_GFPGAN: False
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use_RealESRGAN: False
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RealESRGAN_model: "RealESRGAN_x4plus"
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variant_amount: 0.0
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variant_seed: ""
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write_info_files: True
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txt2vid:
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default_model: "CompVis/stable-diffusion-v1-4"
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custom_models_list: ["CompVis/stable-diffusion-v1-4", "naclbit/trinart_stable_diffusion_v2", "hakurei/waifu-diffusion", "osanseviero/BigGAN-deep-128"]
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prompt:
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height: 512
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width: 512
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cfg_scale: 7.5
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seed: ""
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batch_count: 1
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batch_size: 1
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sampling_steps: 30
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num_inference_steps: 200
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default_sampler: "k_euler"
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scheduler_name: "klms"
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separate_prompts: False
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update_preview: True
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update_preview_frequency: 5
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dynamic_preview_frequency: True
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normalize_prompt_weights: True
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save_individual_images: True
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save_video: True
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group_by_prompt: True
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write_info_files: True
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do_loop: False
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save_as_jpg: False
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use_GFPGAN: False
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use_RealESRGAN: False
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RealESRGAN_model: "RealESRGAN_x4plus"
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variant_amount: 0.0
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variant_seed: ""
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beta_start: 0.00085
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beta_end: 0.012
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beta_scheduler_type: "linear"
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max_frames: 1000
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img2img:
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prompt:
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sampling_steps: 30
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# Adding an int to toggles enables the corresponding feature.
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# 0: Create prompt matrix (separate multiple prompts using |, and get all combinations of them)
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# 1: Normalize Prompt Weights (ensure sum of weights add up to 1.0)
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# 2: Loopback (use images from previous batch when creating next batch)
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# 3: Random loopback seed
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# 4: Save individual images
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# 5: Save grid
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# 6: Sort samples by prompt
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# 7: Write sample info files
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# 8: jpg samples
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# 9: Fix faces using GFPGAN
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# 10: Upscale images using Real-ESRGAN
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sampler_name: "k_euler"
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denoising_strength: 0.45
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# 0: Keep masked area
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# 1: Regenerate only masked area
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mask_mode: 0
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mask_restore: False
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# 0: Just resize
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# 1: Crop and resize
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# 2: Resize and fill
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resize_mode: 0
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# Leave blank for random seed:
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seed: ""
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ddim_eta: 0.0
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cfg_scale: 7.5
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batch_count: 1
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batch_size: 1
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height: 512
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width: 512
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# Textual inversion embeddings file path:
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fp: ""
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loopback: True
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random_seed_loopback: True
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separate_prompts: False
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update_preview: True
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update_preview_frequency: 5
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normalize_prompt_weights: True
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save_individual_images: True
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save_grid: True
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group_by_prompt: True
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save_as_jpg: False
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use_GFPGAN: False
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use_RealESRGAN: False
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RealESRGAN_model: "RealESRGAN_x4plus"
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variant_amount: 0.0
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variant_seed: ""
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write_info_files: True
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gfpgan:
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strength: 100
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