sdh external
This commit is contained in:
Johannes Stelzer
parent
0685549673
commit
c3cdab663b
157
gradio_ui.py
157
gradio_ui.py
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@ -56,8 +56,13 @@ def compare_dicts(a, b):
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return c
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class BlendingFrontend():
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def __init__(self):
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self.use_debug = False
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def __init__(self, sdh=None):
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if sdh is None:
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self.use_debug = True
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else:
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self.use_debug = False
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self.lb = LatentBlending(sdh)
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self.share = True
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self.num_inference_steps = 30
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@ -70,7 +75,7 @@ class BlendingFrontend():
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self.prompt1 = ""
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self.prompt2 = ""
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self.negative_prompt = ""
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self.dp_base = "/home/lugo/latentblending"
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self.dp_base = "/output/"
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self.list_settings = []
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self.state_prev = {}
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self.state_current = {}
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@ -84,24 +89,13 @@ class BlendingFrontend():
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self.duration = 10
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if not self.use_debug:
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self.init_diffusion()
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self.lb.sdh.num_inference_steps = self.num_inference_steps
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self.height = self.lb.sdh.height
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self.width = self.lb.sdh.width
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else:
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self.height = 420
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self.width = 420
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def init_diffusion(self):
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fp_ckpt = "../stable_diffusion_models/ckpt/v2-1_512-ema-pruned.ckpt"
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fp_config = 'configs/v2-inference.yaml'
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# fp_ckpt = "../stable_diffusion_models/ckpt/v2-1_768-ema-pruned.ckpt"
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# fp_config = 'configs/v2-inference-v.yaml'
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sdh = StableDiffusionHolder(fp_ckpt, fp_config, num_inference_steps=self.num_inference_steps)
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self.lb = LatentBlending(sdh)
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self.use_debug = False
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def change_depth_strength(self, value):
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self.depth_strength = value
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print(f"changed depth_strength to {value}")
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@ -284,83 +278,90 @@ class BlendingFrontend():
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list_return.extend([str_fill])
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return list_return
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self = BlendingFrontend()
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if __name__ == "__main__":
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fp_ckpt = "../stable_diffusion_models/ckpt/v2-1_512-ema-pruned.ckpt"
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fp_config = 'configs/v2-inference.yaml'
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sdh = StableDiffusionHolder(fp_ckpt, fp_config)
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self = BlendingFrontend(sdh)
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with gr.Blocks() as demo:
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with gr.Blocks() as demo:
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with gr.Row():
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prompt1 = gr.Textbox(label="prompt 1")
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prompt2 = gr.Textbox(label="prompt 2")
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negative_prompt = gr.Textbox(label="negative prompt")
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with gr.Row():
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prompt1 = gr.Textbox(label="prompt 1")
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prompt2 = gr.Textbox(label="prompt 2")
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negative_prompt = gr.Textbox(label="negative prompt")
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with gr.Row():
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nmb_branches_final = gr.Slider(5, 125, self.nmb_branches_final, step=4, label='nmb trans images', interactive=True)
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height = gr.Slider(256, 2048, self.height, step=128, label='height', interactive=True)
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width = gr.Slider(256, 2048, self.width, step=128, label='width', interactive=True)
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with gr.Row():
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nmb_branches_final = gr.Slider(5, 125, self.nmb_branches_final, step=4, label='nmb trans images', interactive=True)
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height = gr.Slider(256, 2048, self.height, step=128, label='height', interactive=True)
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width = gr.Slider(256, 2048, self.width, step=128, label='width', interactive=True)
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with gr.Row():
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num_inference_steps = gr.Slider(5, 100, self.num_inference_steps, step=1, label='num_inference_steps', interactive=True)
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branch1_influence = gr.Slider(0.0, 1.0, self.branch1_influence, step=0.01, label='branch1_influence', interactive=True)
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guidance_scale = gr.Slider(1, 25, self.guidance_scale, step=0.1, label='guidance_scale', interactive=True)
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with gr.Row():
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num_inference_steps = gr.Slider(5, 100, self.num_inference_steps, step=1, label='num_inference_steps', interactive=True)
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branch1_influence = gr.Slider(0.0, 1.0, self.branch1_influence, step=0.01, label='branch1_influence', interactive=True)
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guidance_scale = gr.Slider(1, 25, self.guidance_scale, step=0.1, label='guidance_scale', interactive=True)
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with gr.Row():
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depth_strength = gr.Slider(0.01, 0.99, self.depth_strength, step=0.01, label='depth_strength', interactive=True)
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guidance_scale_mid_damper = gr.Slider(0.01, 2.0, self.guidance_scale_mid_damper, step=0.01, label='guidance_scale_mid_damper', interactive=True)
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mid_compression_scaler = gr.Slider(1.0, 2.0, self.mid_compression_scaler, step=0.01, label='mid_compression_scaler', interactive=True)
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with gr.Row():
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depth_strength = gr.Slider(0.01, 0.99, self.depth_strength, step=0.01, label='depth_strength', interactive=True)
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guidance_scale_mid_damper = gr.Slider(0.01, 2.0, self.guidance_scale_mid_damper, step=0.01, label='guidance_scale_mid_damper', interactive=True)
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mid_compression_scaler = gr.Slider(1.0, 2.0, self.mid_compression_scaler, step=0.01, label='mid_compression_scaler', interactive=True)
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with gr.Row():
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b_newseed1 = gr.Button("rand seed 1")
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seed1 = gr.Number(42, label="seed 1", interactive=True)
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b_newseed2 = gr.Button("rand seed 2")
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seed2 = gr.Number(420, label="seed 2", interactive=True)
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b_compare = gr.Button("compare")
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with gr.Row():
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b_newseed1 = gr.Button("rand seed 1")
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seed1 = gr.Number(42, label="seed 1", interactive=True)
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b_newseed2 = gr.Button("rand seed 2")
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seed2 = gr.Number(420, label="seed 2", interactive=True)
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b_compare = gr.Button("compare")
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with gr.Row():
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b_run = gr.Button('run preview!')
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with gr.Row():
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b_run = gr.Button('run preview!')
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with gr.Row():
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img1 = gr.Image(label="1/5")
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img2 = gr.Image(label="2/5")
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img3 = gr.Image(label="3/5")
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img4 = gr.Image(label="4/5")
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img5 = gr.Image(label="5/5")
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with gr.Row():
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img1 = gr.Image(label="1/5")
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img2 = gr.Image(label="2/5")
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img3 = gr.Image(label="3/5")
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img4 = gr.Image(label="4/5")
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img5 = gr.Image(label="5/5")
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with gr.Row():
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compare_text = gr.Textbox(label="")
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with gr.Row():
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compare_text = gr.Textbox(label="")
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with gr.Row():
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fps = gr.Slider(1, 120, self.fps, step=1, label='fps', interactive=True)
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duration = gr.Slider(0.1, 30, self.duration, step=0.1, label='duration', interactive=True)
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b_save = gr.Button('save video')
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with gr.Row():
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fps = gr.Slider(1, 120, self.fps, step=1, label='fps', interactive=True)
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duration = gr.Slider(0.1, 30, self.duration, step=0.1, label='duration', interactive=True)
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b_save = gr.Button('save video')
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with gr.Row():
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vid = gr.Video()
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with gr.Row():
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vid = gr.Video()
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# Bind the on-change methods
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depth_strength.change(fn=self.change_depth_strength, inputs=depth_strength)
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num_inference_steps.change(fn=self.change_num_inference_steps, inputs=num_inference_steps)
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nmb_branches_final.change(fn=self.change_nmb_branches_final, inputs=nmb_branches_final)
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# Bind the on-change methods
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depth_strength.change(fn=self.change_depth_strength, inputs=depth_strength)
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num_inference_steps.change(fn=self.change_num_inference_steps, inputs=num_inference_steps)
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nmb_branches_final.change(fn=self.change_nmb_branches_final, inputs=nmb_branches_final)
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guidance_scale.change(fn=self.change_guidance_scale, inputs=guidance_scale)
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guidance_scale_mid_damper.change(fn=self.change_guidance_scale_mid_damper, inputs=guidance_scale_mid_damper)
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mid_compression_scaler.change(fn=self.change_mid_compression_scaler, inputs=mid_compression_scaler)
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guidance_scale.change(fn=self.change_guidance_scale, inputs=guidance_scale)
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guidance_scale_mid_damper.change(fn=self.change_guidance_scale_mid_damper, inputs=guidance_scale_mid_damper)
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mid_compression_scaler.change(fn=self.change_mid_compression_scaler, inputs=mid_compression_scaler)
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height.change(fn=self.change_height, inputs=height)
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width.change(fn=self.change_width, inputs=width)
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prompt1.change(fn=self.change_prompt1, inputs=prompt1)
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prompt2.change(fn=self.change_prompt2, inputs=prompt2)
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negative_prompt.change(fn=self.change_negative_prompt, inputs=negative_prompt)
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seed1.change(fn=self.change_seed1, inputs=seed1)
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seed2.change(fn=self.change_seed2, inputs=seed2)
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fps.change(fn=self.change_fps, inputs=fps)
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duration.change(fn=self.change_duration, inputs=duration)
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branch1_influence.change(fn=self.change_branch1_influence, inputs=branch1_influence)
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height.change(fn=self.change_height, inputs=height)
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width.change(fn=self.change_width, inputs=width)
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prompt1.change(fn=self.change_prompt1, inputs=prompt1)
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prompt2.change(fn=self.change_prompt2, inputs=prompt2)
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negative_prompt.change(fn=self.change_negative_prompt, inputs=negative_prompt)
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seed1.change(fn=self.change_seed1, inputs=seed1)
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seed2.change(fn=self.change_seed2, inputs=seed2)
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fps.change(fn=self.change_fps, inputs=fps)
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duration.change(fn=self.change_duration, inputs=duration)
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branch1_influence.change(fn=self.change_branch1_influence, inputs=branch1_influence)
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b_newseed1.click(self.randomize_seed1, outputs=seed1)
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b_newseed2.click(self.randomize_seed2, outputs=seed2)
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b_compare.click(self.compare_last, outputs=[img1, img2, img3, img4, img5, compare_text])
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b_run.click(self.run, outputs=[img1, img2, img3, img4, img5])
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b_save.click(self.save, outputs=vid)
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b_newseed1.click(self.randomize_seed1, outputs=seed1)
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b_newseed2.click(self.randomize_seed2, outputs=seed2)
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b_compare.click(self.compare_last, outputs=[img1, img2, img3, img4, img5, compare_text])
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b_run.click(self.run, outputs=[img1, img2, img3, img4, img5])
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b_save.click(self.save, outputs=vid)
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demo.launch(share=self.share)
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demo.launch(share=self.share)
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