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# Text-guided depth-to-image μμ± |
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[[open-in-colab]] |
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[`StableDiffusionDepth2ImgPipeline`]μ μ¬μ©νλ©΄ ν
μ€νΈ ν둬ννΈμ μ΄κΈ° μ΄λ―Έμ§λ₯Ό μ λ¬νμ¬ μ μ΄λ―Έμ§μ μμ±μ μ‘°μ ν μ μμ΅λλ€. λν μ΄λ―Έμ§ ꡬ쑰λ₯Ό 보쑴νκΈ° μν΄ `depth_map`μ μ λ¬ν μλ μμ΅λλ€. `depth_map`μ΄ μ 곡λμ§ μμΌλ©΄ νμ΄νλΌμΈμ ν΅ν©λ [depth-estimation model](https://github.com/isl-org/MiDaS)μ ν΅ν΄ μλμΌλ‘ κΉμ΄λ₯Ό μμΈ‘ν©λλ€. |
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λ¨Όμ [`StableDiffusionDepth2ImgPipeline`]μ μΈμ€ν΄μ€λ₯Ό μμ±ν©λλ€: |
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```python |
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import torch |
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import requests |
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from PIL import Image |
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from diffusers import StableDiffusionDepth2ImgPipeline |
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pipe = StableDiffusionDepth2ImgPipeline.from_pretrained( |
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"stabilityai/stable-diffusion-2-depth", |
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torch_dtype=torch.float16, |
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).to("cuda") |
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``` |
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μ΄μ ν둬ννΈλ₯Ό νμ΄νλΌμΈμ μ λ¬ν©λλ€. νΉμ λ¨μ΄κ° μ΄λ―Έμ§ μμ±μ κ°μ΄λ νλκ²μ λ°©μ§νκΈ° μν΄ `negative_prompt`λ₯Ό μ λ¬ν μλ μμ΅λλ€: |
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```python |
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url = "http://images.cocodataset.org/val2017/000000039769.jpg" |
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init_image = Image.open(requests.get(url, stream=True).raw) |
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prompt = "two tigers" |
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n_prompt = "bad, deformed, ugly, bad anatomy" |
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image = pipe(prompt=prompt, image=init_image, negative_prompt=n_prompt, strength=0.7).images[0] |
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image |
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``` |
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| Input | Output | |
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|---------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------| |
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| <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/coco-cats.png" width="500"/> | <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/depth2img-tigers.png" width="500"/> | |
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μλμ Spacesλ₯Ό κ°μ§κ³ λλ©° depth mapμ΄ μλ μ΄λ―Έμ§μ μλ μ΄λ―Έμ§μ μ°¨μ΄κ° μλμ§ νμΈν΄ 보μΈμ! |
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<iframe |
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src="https://radames-stable-diffusion-depth2img.hf.space" |
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frameborder="0" |
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width="850" |
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height="500" |
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></iframe> |
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