[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`.
This commit is contained in:
aoirusann 2022-10-12 20:09:42 +08:00 committed by AUTOMATIC1111
parent cf1e8fcb30
commit a4170875b0

View File

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