[img2imgalt] Add override
in UI for convenience.
Some params in img2imgalt are fixed, such as `Sampling method` and `Denosing Strength`. And some params should be matched with those in decode, such as `steps`.
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@ -120,15 +120,44 @@ class Script(scripts.Script):
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return is_img2img
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return is_img2img
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def ui(self, is_img2img):
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def ui(self, is_img2img):
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info = gr.Markdown('''
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* `Sampling method` is overriden as Euler, as this script is built on it.
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* `CFG Scale` should be 2 or lower.
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''')
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override_prompt = gr.Checkbox(label="Override `prompt` to the same value as `original prompt`?(and `negative prompt`)", value=True)
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original_prompt = gr.Textbox(label="Original prompt", lines=1)
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original_prompt = gr.Textbox(label="Original prompt", lines=1)
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original_negative_prompt = gr.Textbox(label="Original negative prompt", lines=1)
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original_negative_prompt = gr.Textbox(label="Original negative prompt", lines=1)
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cfg = gr.Slider(label="Decode CFG scale", minimum=0.0, maximum=15.0, step=0.1, value=1.0)
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override_steps = gr.Checkbox(label="Override `Sampling Steps` to the same value as `Decode steps`?", value=True)
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st = gr.Slider(label="Decode steps", minimum=1, maximum=150, step=1, value=50)
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st = gr.Slider(label="Decode steps", minimum=1, maximum=150, step=1, value=50)
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override_strength = gr.Checkbox(label="Override `Denoising strength` to 1?", value=True)
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cfg = gr.Slider(label="Decode CFG scale", minimum=0.0, maximum=15.0, step=0.1, value=1.0)
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randomness = gr.Slider(label="Randomness", minimum=0.0, maximum=1.0, step=0.01, value=0.0)
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randomness = gr.Slider(label="Randomness", minimum=0.0, maximum=1.0, step=0.01, value=0.0)
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sigma_adjustment = gr.Checkbox(label="Sigma adjustment for finding noise for image", value=False)
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sigma_adjustment = gr.Checkbox(label="Sigma adjustment for finding noise for image", value=False)
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return [original_prompt, original_negative_prompt, cfg, st, randomness, sigma_adjustment]
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def run(self, p, original_prompt, original_negative_prompt, cfg, st, randomness, sigma_adjustment):
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return [
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info,
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override_prompt, original_prompt, original_negative_prompt,
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override_steps, st,
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override_strength,
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cfg, randomness, sigma_adjustment,
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]
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def run(self, p, _, override_prompt, original_prompt, original_negative_prompt, override_steps, st, override_strength, cfg, randomness, sigma_adjustment):
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# MUST Override
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p.sampler_index = [sampler.name for sampler in sd_samplers.samplers].index("Euler")
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# OPTIONAL Override
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if override_prompt:
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p.prompt = original_prompt
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p.negative_prompt = original_negative_prompt
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if override_steps:
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p.steps = st
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if override_strength:
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p.denoising_strength = 1.0
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def sample_extra(conditioning, unconditional_conditioning, seeds, subseeds, subseed_strength):
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def sample_extra(conditioning, unconditional_conditioning, seeds, subseeds, subseed_strength):
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