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merge upstream
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17 changed files with 203 additions and 94 deletions
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@ -9,10 +9,11 @@ ENV DEBIAN_FRONTEND=noninteractive
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RUN conda install python=3.8.5 && conda clean -a -y
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RUN conda install pytorch==1.11.0 torchvision==0.12.0 cudatoolkit=11.3 -c pytorch && conda clean -a -y
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RUN apt-get update && apt install fonts-dejavu-core rsync -y && apt-get clean
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RUN apt-get update && apt install fonts-dejavu-core rsync gcc -y && apt-get clean
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RUN <<EOF
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git config --global http.postBuffer 1048576000
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git clone https://github.com/sd-webui/stable-diffusion-webui.git stable-diffusion
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cd stable-diffusion
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git reset --hard 7623a5734740025d79b710f3744bff9276e1467b
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@ -2,9 +2,12 @@
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general:
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gpu: 0
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outdir: /outputs
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ckpt: "/cache/models/model.ckpt"
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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: "/cache/models/model.ckpt"
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fp:
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name: "embeddings/alex/embeddings_gs-11000.pt"
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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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@ -15,43 +18,90 @@ general:
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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_turbo: True
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optimized_config: "optimizedSD/v1-inference.yaml"
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update_preview: True
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update_preview_frequency: 1
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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: 5.0
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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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default_sampler: "k_lms"
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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: True
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use_RealESRGAN: True
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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:
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[
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"CompVis/stable-diffusion-v1-4",
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"naclbit/trinart_stable_diffusion_v2",
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"hakurei/waifu-diffusion",
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"osanseviero/BigGAN-deep-128",
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]
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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: 50
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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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@ -64,11 +114,12 @@ img2img:
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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_lms
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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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@ -76,7 +127,7 @@ img2img:
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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: 5.0
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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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@ -86,16 +137,19 @@ img2img:
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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: True
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use_RealESRGAN: True
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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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