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60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from diffusers import DiffusionPipeline
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import torch
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from PIL import Image
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from datetime import datetime
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from IPython.display import display
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# --- Model setup ---
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MODEL_ID = "stabilityai/stable-diffusion-xl-base-1.0"
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dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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pipe = DiffusionPipeline.from_pretrained(
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MODEL_ID,
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torch_dtype=dtype,
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variant="fp16" if dtype==torch.float16 else None,
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)
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pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
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# --- Prompt setup ---
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prompt = "a cozy modern reading nook with a big window, soft natural light, photorealistic"
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negative_prompt = "low quality, blurry, distorted, text, watermark"
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# --- Generation settings ---
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height = 1024
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width = 1024
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steps = 30
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guidance = 7.0
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# --- Generate ---
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result = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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num_inference_steps=steps,
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guidance_scale=guidance,
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height=height,
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width=width,
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)
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# --- Save to file ---
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image: Image.Image = result.images[0]
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display(image)
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image.save(f"sdxl_output.png")
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print(f"Saved image as sdxl_output.png")
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