bugfix, missed recycle_img1
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@ -25,8 +25,8 @@ from movie_util import concatenate_movies
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from huggingface_hub import hf_hub_download
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# %% First let us spawn a stable diffusion holder. Uncomment your version of choice.
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# fp_ckpt = hf_hub_download(repo_id="stabilityai/stable-diffusion-2-1-base", filename="v2-1_512-ema-pruned.ckpt")
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fp_ckpt = hf_hub_download(repo_id="stabilityai/stable-diffusion-2-1", filename="v2-1_768-ema-pruned.ckpt")
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fp_ckpt = hf_hub_download(repo_id="stabilityai/stable-diffusion-2-1-base", filename="v2-1_512-ema-pruned.ckpt")
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# fp_ckpt = hf_hub_download(repo_id="stabilityai/stable-diffusion-2-1", filename="v2-1_768-ema-pruned.ckpt")
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sdh = StableDiffusionHolder(fp_ckpt)
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# %% Let's setup the multi transition
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@ -39,9 +39,9 @@ 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 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_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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# You can optionally specify the seeds
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list_seeds = [954375479, 332539350, 956051013, 408831845, 250009012, 675588737]
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@ -65,6 +65,7 @@ for i in range(len(list_prompts) - 1):
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fixed_seeds = list_seeds[i:i + 2]
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# Run latent blending
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lb.run_transition(
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recycle_img1 = recycle_img1,
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depth_strength=depth_strength,
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t_compute_max_allowed=t_compute_max_allowed,
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fixed_seeds=fixed_seeds)
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@ -76,6 +76,7 @@ for i in range(len(list_prompts) - 1):
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# Run latent blending
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lb.run_transition(
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recycle_img1=recycle_img1,
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depth_strength=depth_strength_lores,
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nmb_max_branches=nmb_max_branches_lores,
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fixed_seeds=fixed_seeds)
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