multi trans with new branching setup
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@ -32,47 +32,28 @@ torch.set_grad_enabled(False)
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#%% First let us spawn a stable diffusion holder
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device = "cuda:0"
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num_inference_steps = 20 # Number of diffusion interations
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fp_ckpt = "../stable_diffusion_models/ckpt/768-v-ema.ckpt"
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fp_config = '../stablediffusion/configs/stable-diffusion/v2-inference-v.yaml'
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sdh = StableDiffusionHolder(fp_ckpt, fp_config, device, num_inference_steps=num_inference_steps)
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sdh = StableDiffusionHolder(fp_ckpt, fp_config, device)
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#%% MULTITRANS
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num_inference_steps = 30 # Number of diffusion interations
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list_nmb_branches = [2, 10, 50, 100, 200] #
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list_injection_strength = list(np.linspace(0.5, 0.95, 4)) # Branching structure: how deep is the blending
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list_injection_strength.insert(0, 0.0)
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guidance_scale = 5
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fps = 30
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duration_single_trans = 20
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width = 768
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height = 768
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lb = LatentBlending(sdh, num_inference_steps, guidance_scale)
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# deepth_strength = 0.5
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# num_inference_steps, list_injection_idx, list_nmb_branches = lb.get_branching('medium', deepth_strength, fps*duration_single_trans)
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duration_single_trans = 15
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quality = 'high'
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deepth_strength = 0.55
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lb = LatentBlending(sdh)
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lb.autosetup_branching(quality=quality, deepth_strength=deepth_strength)
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list_prompts = []
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list_prompts.append("surrealistic statue made of glitter and dirt, standing in a lake, atmospheric light, strange glow")
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list_prompts.append("statue of a mix between a tree and human, made of marble, incredibly detailed")
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list_prompts.append("weird statue of a frog monkey, many colors, standing next to the ruins of an ancient city")
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list_prompts.append("statue made of hot metal, bizzarre, dark clouds in the sky")
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list_prompts.append("statue of a spider that looked like a human")
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list_prompts.append("statue of a bird that looked like a scorpion")
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list_prompts.append("statue of an ancient cybernetic messenger annoucing good news, golden, futuristic")
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list_seeds = [234187386, 422209351, 241845736, 28652396, 783279867, 831049796, 234903931]
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list_seeds = [954375479, 332539350, 956051013, 408831845, 250009012, 675588737]
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fp_movie = "movie_example3.mp4"
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ms = MovieSaver(fp_movie, fps=fps)
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@ -80,19 +61,9 @@ ms = MovieSaver(fp_movie, fps=fps)
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lb.run_multi_transition(
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list_prompts,
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list_seeds,
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list_nmb_branches,
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# list_injection_idx=list_injection_idx,
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list_injection_strength=list_injection_strength,
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ms=ms,
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fps=fps,
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duration_single_trans=duration_single_trans
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)
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#%%
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#for img in lb.tree_final_imgs:
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# if img is not None:
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# ms.write_frame(img)
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#
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#ms.finalize()
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@ -454,9 +454,6 @@ class LatentBlending():
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self,
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list_prompts: List[str],
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list_seeds: List[int] = None,
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list_nmb_branches: List[int] = None,
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list_injection_strength: List[float] = None,
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list_injection_idx: List[int] = None,
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ms: MovieSaver = None,
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fps: float = 24,
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duration_single_trans: float = 15,
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@ -468,14 +465,6 @@ class LatentBlending():
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list of the prompts. There will be a transition starting from the first to the last.
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list_seeds: List[int] = None:
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Random Seeds for each prompt.
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list_nmb_branches: List[int]:
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list of the number of branches for each injection.
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list_injection_strength: List[float]:
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list of injection strengths within interval [0, 1), values need to be increasing.
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Alternatively you can direclty specify the list_injection_idx.
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list_injection_idx: List[int]:
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list of injection strengths within interval [0, 1), values need to be increasing.
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Alternatively you can specify the list_injection_strength.
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ms: MovieSaver
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You need to spawn a moviesaver instance.
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fps: float:
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@ -505,7 +494,7 @@ class LatentBlending():
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recycle_img1 = True
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local_seeds = [list_seeds[i], list_seeds[i+1]]
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list_imgs = self.run_transition(list_nmb_branches, list_injection_strength=list_injection_strength, list_injection_idx=list_injection_idx, recycle_img1=recycle_img1, fixed_seeds=local_seeds)
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list_imgs = self.run_transition(recycle_img1=recycle_img1, fixed_seeds=local_seeds)
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list_imgs_interp = add_frames_linear_interp(list_imgs, fps, duration_single_trans)
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# Save movie frame
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