diff options
Diffstat (limited to 'scripts/img2imgalt.py')
| -rw-r--r-- | scripts/img2imgalt.py | 28 |
1 files changed, 17 insertions, 11 deletions
diff --git a/scripts/img2imgalt.py b/scripts/img2imgalt.py index 1229f61b..7555e874 100644 --- a/scripts/img2imgalt.py +++ b/scripts/img2imgalt.py @@ -16,6 +16,7 @@ import k_diffusion as K from PIL import Image
from torch import autocast
from einops import rearrange, repeat
+import re
def find_noise_for_image(p, cond, uncond, cfg_scale, steps):
@@ -122,28 +123,33 @@ class Script(scripts.Script): def title(self):
return "img2img alternative test"
+ def elem_id(self, item_id):
+ gen_elem_id = ('img2img' if self.is_img2img else 'txt2txt') + '_script_' + re.sub(r'\s', '_', self.title().lower()) + '_' + item_id
+ gen_elem_id = re.sub(r'[^a-z_0-9]', '', gen_elem_id)
+ return gen_elem_id
+
def show(self, is_img2img):
return is_img2img
- def ui(self, is_img2img):
+ def ui(self, is_img2img):
info = gr.Markdown('''
* `CFG Scale` should be 2 or lower.
''')
- override_sampler = gr.Checkbox(label="Override `Sampling method` to Euler?(this method is built for it)", value=True)
+ override_sampler = gr.Checkbox(label="Override `Sampling method` to Euler?(this method is built for it)", value=True, elem_id=self.elem_id("override_sampler"))
- 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_negative_prompt = gr.Textbox(label="Original negative prompt", lines=1)
+ override_prompt = gr.Checkbox(label="Override `prompt` to the same value as `original prompt`?(and `negative prompt`)", value=True, elem_id=self.elem_id("override_prompt"))
+ original_prompt = gr.Textbox(label="Original prompt", lines=1, elem_id=self.elem_id("original_prompt"))
+ original_negative_prompt = gr.Textbox(label="Original negative prompt", lines=1, elem_id=self.elem_id("original_negative_prompt"))
- 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)
+ override_steps = gr.Checkbox(label="Override `Sampling Steps` to the same value as `Decode steps`?", value=True, elem_id=self.elem_id("override_steps"))
+ st = gr.Slider(label="Decode steps", minimum=1, maximum=150, step=1, value=50, elem_id=self.elem_id("st"))
- override_strength = gr.Checkbox(label="Override `Denoising strength` to 1?", value=True)
+ override_strength = gr.Checkbox(label="Override `Denoising strength` to 1?", value=True, elem_id=self.elem_id("override_strength"))
- 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)
- sigma_adjustment = gr.Checkbox(label="Sigma adjustment for finding noise for image", value=False)
+ cfg = gr.Slider(label="Decode CFG scale", minimum=0.0, maximum=15.0, step=0.1, value=1.0, elem_id=self.elem_id("cfg"))
+ randomness = gr.Slider(label="Randomness", minimum=0.0, maximum=1.0, step=0.01, value=0.0, elem_id=self.elem_id("randomness"))
+ sigma_adjustment = gr.Checkbox(label="Sigma adjustment for finding noise for image", value=False, elem_id=self.elem_id("sigma_adjustment"))
return [
info,
|