# 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.
# You may add overrides in a file named "userconfig_streamlit.yaml" in this folder, which can contain any subset
# of the properties below.
general:
    gpu: 0
    outdir: outputs
    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"
    fp:
        name: ''
    GFPGAN_dir: "./src/gfpgan"
    RealESRGAN_dir: "./src/realesrgan"
    RealESRGAN_model: "RealESRGAN_x4plus"
    LDSR_dir: "./src/latent-diffusion"
    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
    save_format: "png"
    skip_grid: False
    skip_save: False
    grid_format: "jpg:95"
    n_rows: -1
    no_verify_input: False
    no_half: False
    precision: "autocast"
    optimized: False
    optimized_turbo: False
    update_preview: True
    update_preview_frequency: 5

txt2img:
    prompt:
    height: 512
    width: 512
    cfg_scale: 7.5
    seed: ""
    batch_count: 1
    batch_size: 1
    sampling_steps: 30
    default_sampler: "k_euler"
    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
    
txt2vid:
    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"]
    prompt:
    height: 512
    width: 512
    cfg_scale: 7.5
    seed: ""
    batch_count: 1
    batch_size: 1
    sampling_steps: 30
    num_inference_steps: 200
    default_sampler: "k_euler"
    scheduler_name: "klms"
    separate_prompts: False
    update_preview: True
    update_preview_frequency: 5
    dynamic_preview_frequency: True
    normalize_prompt_weights: True
    save_individual_images: True
    save_video: True
    group_by_prompt: True
    write_info_files: True
    do_loop: False
    save_as_jpg: False
    use_GFPGAN: False
    use_RealESRGAN: False
    RealESRGAN_model: "RealESRGAN_x4plus"
    variant_amount: 0.0
    variant_seed: ""
    beta_start: 0.00085
    beta_end: 0.012
    beta_scheduler_type: "linear"
    max_frames: 1000
    
img2img:
  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: 0.45
  # 0: Keep masked area
  # 1: Regenerate only masked area
  mask_mode: 0
  # 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

gfpgan:
  strength: 100