text_to_image_generation-kandinsky2_2.py

# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
#
# 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.
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from ppdiffusers import KandinskyV22Pipeline, KandinskyV22PriorPipeline

pipe_prior = KandinskyV22PriorPipeline.from_pretrained("kandinsky-community/kandinsky-2-2-prior")
prompt = "red cat, 4k photo"
out = pipe_prior(prompt)
image_emb = out.image_embeds
zero_image_emb = out.negative_image_embeds
pipe = KandinskyV22Pipeline.from_pretrained("kandinsky-community/kandinsky-2-2-decoder")
image = pipe(
    image_embeds=image_emb,
    negative_image_embeds=zero_image_emb,
    height=768,
    width=768,
    num_inference_steps=50,
).images
image[0].save("text_to_image_generation-kandinsky2_2-result-cat.png")