mirror of
https://github.com/sd-webui/stable-diffusion-webui.git
synced 2024-12-15 15:22:55 +03:00
93b3a47a74
* Removing the need for a custom streamlit fork, as we are not using nested columns this is no longer needed. * Moved the embeddings to the config file and changed the Ui so it only needs to call `defaults.general.fp` to get it. * Changed the way the image preview is updated on the UI to now use the proper callback from the DDIM and PLMS samplers, for that reason we no longer need to have the code for those samplers inside the webui_streamlit.py file.
89 lines
2.3 KiB
YAML
89 lines
2.3 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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general:
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gpu: 0
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outdir: outputs
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ckpt: "models/ldm/stable-diffusion-v1/model.ckpt"
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fp:
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name: 'embeddings/alex/embeddings_gs-11000.pt'
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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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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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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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precision: "autocast"
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optimized: False
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optimized_turbo: False
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update_preview: True
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update_preview_frequency: 1
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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: 50
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separate_prompts: False
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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: True
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use_RealESRGAN: True
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RealESRGAN_model: "RealESRGAN_x4plus"
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variant_amount: 0.0
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img2img:
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prompt:
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ddim_steps: 50
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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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toggles: [1, 4, 5, 6, 7]
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sampler_name: k_lms
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ddim_eta: 0.0
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n_iter: 1
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batch_size: 1
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cfg_scale: 5.0
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denoising_strength: 0.75
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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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# 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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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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gfpgan:
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strength: 100
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