#
# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
#

from diffusers import DiffusionPipeline
import torch
from PIL import Image
from datetime import datetime
from IPython.display import display

# --- Model setup ---
MODEL_ID = "stabilityai/stable-diffusion-xl-base-1.0"
dtype = torch.float16 if torch.cuda.is_available() else torch.float32

pipe = DiffusionPipeline.from_pretrained(
    MODEL_ID,
    torch_dtype=dtype,
    variant="fp16" if dtype==torch.float16 else None,
)
pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")

# --- Prompt setup ---
prompt = "a cozy modern reading nook with a big window, soft natural light, photorealistic"
negative_prompt = "low quality, blurry, distorted, text, watermark"

# --- Generation settings ---
height = 1024
width = 1024
steps = 30
guidance = 7.0

# --- Generate ---
result = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    num_inference_steps=steps,
    guidance_scale=guidance,
    height=height,
    width=width,
)

# --- Save to file ---
image: Image.Image = result.images[0]
display(image)
image.save(f"sdxl_output.png")
print(f"Saved image as sdxl_output.png")