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updated for SDXL1.0

This commit is contained in:
Johannes Stelzer 2023-10-13 10:58:25 +01:00
parent 528530911d
commit 04bcc5c938
1 changed files with 4 additions and 6 deletions
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10
example1_standard.py
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@ -24,16 +24,15 @@ from diffusers_holder import DiffusersHolder
from diffusers import DiffusionPipeline from diffusers import DiffusionPipeline
# %% First let us spawn a stable diffusion holder. Uncomment your version of choice. # %% First let us spawn a stable diffusion holder. Uncomment your version of choice.
# dh = DiffusersHolder("stabilityai/stable-diffusion-xl-base-0.9") pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0"
pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-0.9"
pipe = DiffusionPipeline.from_pretrained(pretrained_model_name_or_path, torch_dtype=torch.float16) pipe = DiffusionPipeline.from_pretrained(pretrained_model_name_or_path, torch_dtype=torch.float16)
pipe.to('cuda') pipe.to('cuda')
dh = DiffusersHolder(pipe) dh = DiffusersHolder(pipe)
# %% Next let's set up all parameters # %% Next let's set up all parameters
depth_strength = 0.55 # Specifies how deep (in terms of diffusion iterations the first branching happens) depth_strength = 0.55 # Specifies how deep (in terms of diffusion iterations the first branching happens)
t_compute_max_allowed = 60 # Determines the quality of the transition in terms of compute time you grant it t_compute_max_allowed = 60 # Determines the quality of the transition in terms of compute time you grant it
fixed_seeds = [6913192, 504443080]
num_inference_steps = 50 num_inference_steps = 50
size_output = (1024, 768)
prompt1 = "underwater landscape, fish, und the sea, incredible detail, high resolution" prompt1 = "underwater landscape, fish, und the sea, incredible detail, high resolution"
prompt2 = "rendering of an alien planet, strange plants, strange creatures, surreal" prompt2 = "rendering of an alien planet, strange plants, strange creatures, surreal"
@ -45,14 +44,13 @@ duration_transition = 12 # In seconds
lb = LatentBlending(dh) lb = LatentBlending(dh)
lb.set_prompt1(prompt1) lb.set_prompt1(prompt1)
lb.set_prompt2(prompt2) lb.set_prompt2(prompt2)
lb.set_dimensions(1536, 1024) lb.set_dimensions(size_output)
# Run latent blending # Run latent blending
lb.run_transition( lb.run_transition(
depth_strength=depth_strength, depth_strength=depth_strength,
num_inference_steps=num_inference_steps, num_inference_steps=num_inference_steps,
t_compute_max_allowed=t_compute_max_allowed, t_compute_max_allowed=t_compute_max_allowed)
fixed_seeds=fixed_seeds)
# Save movie # Save movie
lb.write_movie_transition(fp_movie, duration_transition) lb.write_movie_transition(fp_movie, duration_transition)