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import gradio as gr
from modules import scripts
from ldm_patched.contrib.external_sag import SelfAttentionGuidance
opSelfAttentionGuidance = SelfAttentionGuidance()
class SAGForForge(scripts.Script):
sorting_priority = 12.5
def title(self):
return "SelfAttentionGuidance Integrated"
def show(self, is_img2img):
return scripts.AlwaysVisible
def ui(self, *args, **kwargs):
with gr.Accordion(open=False, label=self.title()):
enabled = gr.Checkbox(label='Enabled', value=False)
scale = gr.Slider(label='Scale', minimum=-2.0, maximum=5.0, step=0.01, value=0.5)
blur_sigma = gr.Slider(label='Blur Sigma', minimum=0.0, maximum=10.0, step=0.01, value=2.0)
return enabled, scale, blur_sigma
def process_before_every_sampling(self, p, *script_args, **kwargs):
enabled, scale, blur_sigma = script_args
if not enabled:
return
unet = p.sd_model.forge_objects.unet
unet = opSelfAttentionGuidance.patch(unet, scale, blur_sigma)[0]
p.sd_model.forge_objects.unet = unet
p.extra_generation_params.update(dict(
sag_enabled=enabled,
sag_scale=scale,
sag_blur_sigma=blur_sigma
))
return
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