Depth Estimation
Diffusers
Safetensors
English
MarigoldDepthPipeline
depth estimation
image analysis
computer vision
in-the-wild
zero-shot
Instructions to use prs-eth/marigold-depth-v1-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prs-eth/marigold-depth-v1-1 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-v1-1", 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
update model indices
Browse files- model_index.json +3 -2
model_index.json
CHANGED
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@@ -1,9 +1,10 @@
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{
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"_class_name": "MarigoldDepthPipeline",
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"_diffusers_version": "0.
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"scale_invariant": true,
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"shift_invariant": true,
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"default_denoising_steps":
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"default_processing_resolution": 768,
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"unet": [
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"diffusers",
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{
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"_class_name": "MarigoldDepthPipeline",
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"_diffusers_version": "0.24.0",
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"prediction_type": "depth",
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"scale_invariant": true,
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"shift_invariant": true,
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"default_denoising_steps": 4,
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"default_processing_resolution": 768,
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"unet": [
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"diffusers",
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