| import gradio as gr |
|
|
| from modules import scripts |
| from ldm_patched.contrib.nodes_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 |
|
|
