This modelcard aims to be a base template for new models. It has been generated using this raw template.
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This modelcard aims to be a base template for new models. It has been generated using this raw template.
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1 fuenteVerificado 29 jul
Artefactos del modelo
1 artefactodiffusion_pytorch_model.safetensors
safetensors · 2,54 GB · SHA-256 f1e34d9cdcbd…e3fa · Hugging Face
DescargarExtractos de fuentes
2 extractosUsing edge signals to control stable-video-diffusion-xl generation, this model can be loaded.
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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.
Use the code below to get started with the model.
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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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--- license: apache-2.0 language: - en base_model: - stabilityai/stable-video-diffusion-img2vid-xt pipeline_tag: image-to-video library_name: diffusers --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> Using edge signals to control stable-video-diffusion-xl generation, this model can be loaded. ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> 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 Use the code below to get started...
Source context: 7 downloads · 2 likes · Pipeline image-to-video · Library diffusers · Repo chengwendong/controlnet_canny_stable_video_diffusion_xl