control_sd15_depth_hand

Model Card for ControlNet - Hand Depth

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Finetuned ControlNet - depth from HandRefiner.

Model Details

Model converted from checkpoint using the following command.

python3 /workspace/diffusers/scripts/convert_original_controlnet_to_diffusers.py \
    --checkpoint_path inpaint_depth_control.ckpt \
    --original_config_file control_depth_inpaint.yaml \
    --num_in_channels 9 \
    --to_safetensors \
    --dump_path controlnet-depth-hand-converted

Model Description

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• Developed by: Wenquan Lu et al.
• Funded by [optional]: [More Information Needed]
• Shared by [optional]: [More Information Needed]
• Model type: ControlNet
• Language(s) (NLP): [More Information Needed]
• License: MIT
• Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

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• Repository: https://github.com/wenquanlu/HandRefiner
• Paper: https://arxiv.org/abs/2311.17957
• Demo [optional]: [More Information Needed]

Uses

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Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

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Training Details

Training Data

• RHD
• Static Gesture Dataset

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

• Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

Speeds, Sizes, Times [optional]

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

• 1x NVIDIA A100

Hardware

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Software

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Citation [optional]

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BibTeX:

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APA:

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Glossary [optional]

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More Information [optional]

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Model Card Authors [optional]

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Model Card Contact

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