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
Fix pipeline tag, add library_name
#2
by nielsr HF Staff - opened
This PR updates the model card with the correct pipeline_tag and adds the library_name.
The pipeline_tag is changed from depth-estimation to image-to-image because the model processes an image and outputs a depth map image. The library_name is added as diffusers to correctly identify the library used for this model. The Hugging Face paper link is already present.
toshas changed pull request status to merged