Depth Estimation
Diffusers
Safetensors
English
MarigoldDepthPipeline
depth estimation
image analysis
computer vision
in-the-wild
zero-shot
Instructions to use prs-eth/marigold-depth-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prs-eth/marigold-depth-v1-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("prs-eth/marigold-depth-v1-0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
add fp16 checkpoints (new) (#5)
Browse files- [ADD] fp16 checkpoints (7fb91434a744e36c86598be3b5c7ab9eba1be569)
text_encoder/model.fp16.safetensors
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oid sha256:bc1827c465450322616f06dea41596eac7d493f4e95904dcb51f0fc745c4e13f
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text_encoder/pytorch_model.fp16.bin
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oid sha256:bfc767ee894a2d26166aa7c22b7b297a1ff8e246493734490dd048087d4c9c07
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unet/diffusion_pytorch_model.fp16.bin
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oid sha256:794aca23894df15815c39312aaaa8e1243d6ab98e64d1cd6fdb703bd68878e90
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size 1732130133
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unet/diffusion_pytorch_model.fp16.safetensors
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oid sha256:da9c13e214461c2cf82e4a0f125d914976522e53806a54d508e30ea5b8cd67f2
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size 1731927776
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vae/diffusion_pytorch_model.fp16.bin
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oid sha256:44915add42092106e70bffac475aae4283b5e8167a8a0c5f55ccc667ee4ebeb5
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size 167405651
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vae/diffusion_pytorch_model.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e4c08995484ee61270175e9e7a072b66a6e4eeb5f0c266667fe1f45b90daf9a
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size 167335342
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