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https://github.com/sd-webui/stable-diffusion-webui.git
synced 2024-12-14 23:02:00 +03:00
Changed the default output folder to be shorter.
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@ -30,14 +30,14 @@ general:
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use_sd_concepts_library: True
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sd_concepts_library_folder: "models/custom/sd-concepts-library"
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GFPGAN_dir: "./src/gfpgan"
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GFPGAN_model: "GFPGANv1.3"
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GFPGAN_model: "GFPGANv1.4"
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LDSR_dir: "./models/ldsr"
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LDSR_model: "model"
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RealESRGAN_dir: "./src/realesrgan"
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RealESRGAN_model: "RealESRGAN_x4plus"
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upscaling_method: "RealESRGAN"
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outdir_txt2img: outputs/txt2img-samples
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outdir_img2img: outputs/img2img-samples
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outdir_txt2img: outputs/txt2img
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outdir_img2img: outputs/img2img
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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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@ -59,7 +59,7 @@ def img2img(prompt: str = '', init_info: any = None, init_info_mask: any = None,
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random_seed_loopback: bool = False
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):
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outpath = st.session_state['defaults'].general.outdir_img2img or st.session_state['defaults'].general.outdir or "outputs/img2img-samples"
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outpath = st.session_state['defaults'].general.outdir_img2img
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seed = seed_to_int(seed)
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batch_size = 1
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@ -352,6 +352,8 @@ def load_models(use_LDSR = False, LDSR_model='model', use_GFPGAN=False, GFPGAN_m
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print("Model loaded.")
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return True
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def load_model_from_config(config, ckpt, verbose=False):
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@ -99,7 +99,7 @@ def txt2img(prompt: str, ddim_steps: int, sampler_name: str, n_iter: int, batch_
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fp = None, variant_amount: float = None,
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variant_seed: int = None, ddim_eta:float = 0.0, write_info_files:bool = True):
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outpath = st.session_state['defaults'].general.outdir_txt2img or st.session_state['defaults'].general.outdir or "outputs/txt2img-samples"
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outpath = st.session_state['defaults'].general.outdir_txt2img
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seed = seed_to_int(seed)
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@ -385,18 +385,19 @@ def layout():
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CustomModel_available=server_state["CustomModel_available"], custom_model=st.session_state["custom_model"])
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#print(st.session_state['use_RealESRGAN'])
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#print(st.session_state['use_LDSR'])
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#try:
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#
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output_images, seeds, info, stats = txt2img(prompt, st.session_state.sampling_steps, sampler_name, batch_count, batch_size,
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cfg_scale, seed, height, width, separate_prompts, normalize_prompt_weights, save_individual_images,
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save_grid, group_by_prompt, save_as_jpg, st.session_state["use_GFPGAN"], st.session_state['GFPGAN_model'],
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use_RealESRGAN=st.session_state["use_RealESRGAN"], RealESRGAN_model=st.session_state["RealESRGAN_model"],
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use_LDSR=st.session_state["use_LDSR"], LDSR_model=st.session_state["LDSR_model"],
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variant_amount=variant_amount, variant_seed=variant_seed, write_info_files=write_info_files)
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#print(st.session_state['use_RealESRGAN'])
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#print(st.session_state['use_LDSR'])
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#try:
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#
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message.success('Render Complete: ' + info + '; Stats: ' + stats, icon="✅")
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output_images, seeds, info, stats = txt2img(prompt, st.session_state.sampling_steps, sampler_name, batch_count, batch_size,
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cfg_scale, seed, height, width, separate_prompts, normalize_prompt_weights, save_individual_images,
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save_grid, group_by_prompt, save_as_jpg, st.session_state["use_GFPGAN"], st.session_state['GFPGAN_model'],
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use_RealESRGAN=st.session_state["use_RealESRGAN"], RealESRGAN_model=st.session_state["RealESRGAN_model"],
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use_LDSR=st.session_state["use_LDSR"], LDSR_model=st.session_state["LDSR_model"],
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variant_amount=variant_amount, variant_seed=variant_seed, write_info_files=write_info_files)
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message.success('Render Complete: ' + info + '; Stats: ' + stats, icon="✅")
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#history_tab,col1,col2,col3,PlaceHolder,col1_cont,col2_cont,col3_cont = st.session_state['historyTab']
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