Image-to-Image
Diffusers
Safetensors
English
MarigoldNormalsPipeline
normals estimation
image analysis
computer vision
in-the-wild
zero-shot
Instructions to use prs-eth/marigold-normals-v1-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prs-eth/marigold-normals-v1-1 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("prs-eth/marigold-normals-v1-1", 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 History
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unify cards
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Improve model card metadata (#1)
Verified signature- Improve model card metadata (08be521965a62698b44816af35e2d272fb6b774a) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>fcff88b
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update badges
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update with the journal extension
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update pipeline tags
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update model indices
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update model cards
8cfe905
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Rename unet/unet_config.json to unet/config.json
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marigold-normals-v1-0 initial commit
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initial commit
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