jingheya/lotus-depth-g-v1-0

SyncDev model directory · Profile updated Oct 7, 2026

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Hugging Face repository for Depth estimation.

Key specifications

Specification score
10.0

The specification score summarizes recorded features and limits. It is not a benchmark result.

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Image input

Produces

  • Depth Map output

Capabilities

Streaming

What is jingheya/lotus-depth-g-v1-0?

jingheya/lotus-depth-g-v1-0: overview

jingheya/lotus-depth-g-v1-0 is a Hugging Face repository returned by the public Depth estimation task feed. Its recorded download count is 6,150 and it has 27 likes when the repository snapshot was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.

Task fit

This record is categorized for Depth estimation. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.

Source record

The public repository lists diffusers as its library metadata. Its recorded tags include diffusers, safetensors, depth-estimation, arxiv:2409.18124, license:apache-2.0, diffusers:LotusGPipeline, region:us. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.

Test geometry at the required scale

Check whether the output is relative or metric depth and whether scale is stable across scenes. Test indoor and outdoor examples, reflective surfaces and the downstream geometry pipeline.

Related models

Explore jingheya models and the depth estimation collection. Use the comparison tool to inspect a second candidate.

How to evaluate jingheya/lotus-depth-g-v1-0

Compare the model on the work you need to complete.

Tasks and inputs

jingheya/lotus-depth-g-v1-0 is listed for Depth estimation. It accepts image and produces depth map. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.

Choosing a deployment

Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.

Frequently asked questions

jingheya/lotus-depth-g-v1-0 is a Hugging Face repository listed for the Depth estimation task. Open the linked model card to verify the checkpoint, deployment requirements and current source details.

These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.

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