Instructions to use hf-internal-testing/tiny-stable-diffusion-pix2pix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-stable-diffusion-pix2pix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-pix2pix", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 5ca2324
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model_index.json
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"transformers",
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"CLIPFeatureExtractor"
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],
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"safety_checker": [
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"stable_diffusion",
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"FlaxStableDiffusionSafetyChecker"
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],
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"scheduler": [
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"diffusers",
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"FlaxDDIMScheduler"
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"transformers",
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"CLIPFeatureExtractor"
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],
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"safety_checker": [null, null],
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"scheduler": [
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"diffusers",
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"FlaxDDIMScheduler"
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