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stable-video-diffusion-nc-community
Fuente del modelo
Descripción de la fuente
row01 Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it.
(SVD) Image-to-Video is a latent diffusion model trained to generate short video clips from an image conditioning. This model was trained to generate 25 frames at resolution 576x1024 given a context frame of the same size, finetuned from . We also finetune the widely used for temporal consistency. For convenience, we additionally provide the model with the standard frame-wise decoder .
Fuentes
1 fuenteVerificado 14 oct
Artefactos del modelo
1 artefactoimage_encoder/model.fp16.safetensors
safetensors · FP16 · 1,18 GB · SHA-256 ae616c24393d…466a · Hugging Face
DescargarExtractos de fuentes
2 extractosFor research purposes, we recommend our generative-models Github repository (https://github.com/Stability-AI/generative-models),
which implements the most popular diffusion frameworks (both training and inference).
comparison The chart above evaluates user preference for SVD-Image-to-Video over GEN-2 and PikaLabs. SVD-Image-to-Video is preferred by human voters in terms of video quality. For details on the user study, we refer to the research paper
The model is intended for research purposes only. Possible research areas and tasks include
Excluded uses are described below.
The model was not trained to be factual or true representations of people or events, and therefore using the model to generate such content is out-of-scope for the abilities of this model. The model should not be used in any way that violates Stability AI's Acceptable Use Policy.
The model is intended for research purposes only.
--- pipeline_tag: image-to-video license: other license_name: stable-video-diffusion-nc-community license_link: LICENSE --- # Stable Video Diffusion Image-to-Video Model Card <!-- Provide a quick summary of what the model is/does. -->  Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it. ## Model Details ### Model Description (SVD) Image-to-Video is a latent diffusion model trained to generate short video clips from an image conditioning. This model was trained to generate 25 frames at resolution 576x1024 given a context frame of the same size, finetuned from [SVD Image-to-Video [14 frames]](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid). We also finetune the widely used [f8-decoder](https://huggingface.co/docs/diffusers/api/models/autoencoderkl#loading-from-the-original-format) for temporal consistency. For convenience, we additionally provide the model with the standard frame-wise decoder [here](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt/blob/main/svd_xt_image_decoder.safetensors). - **Developed by:** Stability AI - **Funded by:** Stability AI - **Model type:** Generative image-to-video model - **Finetuned from model:** SVD Image-to-Video [14 frames] ### Model Sources For research purposes, we recommend our `generative-models` Github repository (https://github.com/Stability-AI/generative-models), which implements the most popular diffusion frameworks (both training and inference). - **Repository:** https://github.com/Stability-AI/generative-models - **Paper:** https://stability.ai/research/stable-video-diffusion-scaling-latent-video-diffusion-models-to-large-datasets ## Evaluation  The chart above evaluates user preference for SVD-Image-to-Video over [GEN-2](https://research.runwayml.com/gen2) and [PikaLabs](https://www.pika.art/). SVD-Image-to-Video is preferred by human voters in terms of video quality. For details on the user study, we refer to the [research paper](https://stability.ai/research/stable-video-diffusion-scaling-latent-video-diffusion-models-to-large-datasets) ## Uses ### Direct Use The model is intended for research purposes only. Possible research areas and tasks include - Research on generative models. - Safe deployment of model...
Source context: 153 downloads · 30 likes · Pipeline image-to-video · Library diffusers · Repo model-hub/stable-video-diffusion-img2vid-xt
