style-aligned/style_aligned_sd1.ipynb

Copyright 2023 Google LLC

In [ ]:

# Copyright 2023 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

StyleAligned over SD1.4

In [ ]:

from diffusers import DDIMScheduler,StableDiffusionPipeline
import torch
import mediapy
import sa_handler
import math

In [ ]:

scheduler = DDIMScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", clip_sample=False,
                          set_alpha_to_one=False)
pipeline = StableDiffusionPipeline.from_pretrained(
    "CompVis/stable-diffusion-v1-4",
    revision="fp16",
    scheduler=scheduler
)
pipeline = pipeline.to("cuda")

handler = sa_handler.Handler(pipeline)
sa_args = sa_handler.StyleAlignedArgs(share_group_norm=True,
                                      share_layer_norm=True,
                                      share_attention=True,
                                      adain_queries=True,
                                      adain_keys=True,
                                      adain_values=False,
                                     )

handler.register(sa_args, )

In [ ]:

# run StyleAligned

sets_of_prompts = [
  "a toy train. macro photo. 3d game asset",
  "a toy airplane. macro photo. 3d game asset",
  "a toy bicycle. macro photo. 3d game asset",
  "a toy car. macro photo. 3d game asset",
  "a toy boat. macro photo. 3d game asset",
]
images = pipeline(sets_of_prompts, generator=None).images
mediapy.show_images(images)

In [ ]: