Updates & Prepare hlky streamlit (#59)
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@ -41,7 +41,7 @@ RUN pip install --prefer-binary --no-cache-dir -r ${ROOT}/repositories/CodeForme
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# Note: don't update the sha of previous versions because the install will take forever
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# instead, update the repo state in a later step
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ARG SHA=85b97cc49c4766cb47306e71e552871a0791ea29
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ARG SHA=91c56c51c7c83e18adb8fc52a950ec481c93b1de
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RUN <<EOF
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cd stable-diffusion-webui
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git pull --rebase
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@ -26,7 +26,7 @@ RUN pip install -U --no-cache-dir pyperclip
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# Note: don't update the sha of previous versions because the install will take forever
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# instead, update the repo state in a later step
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ARG BRANCH=master
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ARG SHA=e6a9e5d968aad020e54045a0923d8c6aa0b54591
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ARG SHA=833a91047df999302f699637768741cecee9c37b
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RUN <<EOF
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cd stable-diffusion
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git fetch
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@ -56,4 +56,6 @@ WORKDIR /stable-diffusion
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ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch CLI_ARGS=""
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EXPOSE 7860
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# run, -u to not buffer stdout / stderr
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CMD /docker/mount.sh && python3 -u scripts/webui.py --outdir /output --ckpt /cache/models/model.ckpt --ldsr-dir /latent-diffusion ${CLI_ARGS}
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CMD /docker/mount.sh && \
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python3 -u scripts/webui.py --outdir /output --ckpt /cache/models/model.ckpt --ldsr-dir /latent-diffusion --inbrowser ${CLI_ARGS}
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#STREAMLIT_SERVER_PORT=7860 python -m streamlit run scripts/webui_streamlit.py
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@ -33,3 +33,6 @@ fi
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# force facexlib cache
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mkdir -p /cache/weights/ /stable-diffusion/gfpgan/
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ln -sf /cache/weights/ /stable-diffusion/gfpgan/
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# streamlit config
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ln -sf /docker/webui_streamlit.yaml /stable-diffusion/configs/webui/webui_streamlit.yaml
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101
services/hlky/webui_streamlit.yaml
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101
services/hlky/webui_streamlit.yaml
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@ -0,0 +1,101 @@
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# UI defaults configuration file. It is automatically loaded if located at configs/webui/webui_streamlit.yaml.
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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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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: 5.0
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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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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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variant_seed: ""
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img2img:
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prompt:
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sampling_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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sampler_name: k_lms
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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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# 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: 5.0
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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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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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variant_seed: ""
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gfpgan:
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strength: 100
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