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https://github.com/vladmandic/automatic
synced 2026-09-19 01:04:32 +02:00
cleanup
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@@ -3,6 +3,7 @@ __pycache__
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.ruff_cache
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/cache.json
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/*.json
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/*.yaml
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/params.txt
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/styles.csv
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/user.css
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@@ -33,7 +33,6 @@ Stuff to be added, in no particular order...
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- XYZ grid upscalers
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- Built-in `motd`-style notifications
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- Docker PR
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- Add force hires
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- New Major
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- Style editor
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- Profile manager (for `config.json` and `ui-config.json`)
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@@ -212,7 +212,6 @@ class StableDiffusionProcessing:
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conditioning_mask = np.array(image_mask.convert("L"))
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conditioning_mask = conditioning_mask.astype(np.float32) / 255.0
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conditioning_mask = torch.from_numpy(conditioning_mask[None, None])
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# Inpainting model uses a discretized mask as input, so we round to either 1.0 or 0.0
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conditioning_mask = torch.round(conditioning_mask)
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else:
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+1
-1
@@ -391,7 +391,7 @@ def create_ui(startup_timer = None):
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with FormGroup(visible=show_second_pass.value, elem_id="txt2img_second_pass") as second_pass_group:
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with FormRow(elem_id="sampler_selection_txt2img_alt_row1"):
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latent_index = gr.Dropdown(label='Secondary sampler', elem_id="txt2img_sampling_alt", choices=[x.name for x in modules.sd_samplers.samplers], value='Default', type="index")
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denoising_strength = gr.Slider(minimum=0.05, maximum=1.0, step=0.01, label='Denoising strength', value=0.3, elem_id="txt2img_denoising_strength")
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denoising_strength = gr.Slider(minimum=0.05, maximum=1.0, step=0.01, label='Denoising strength', value=0.5, elem_id="txt2img_denoising_strength")
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with FormRow(elem_id="txt2img_hires_finalres", variant="compact"):
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hr_final_resolution = FormHTML(value="", elem_id="txtimg_hr_finalres", label="Upscaled resolution", interactive=False)
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with FormRow(elem_id="txt2img_hires_fix_row1", variant="compact"):
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