|
--- |
|
license: openrail++ |
|
tags: |
|
- text-to-video |
|
- stable-diffusion |
|
--- |
|
|
|
 |
|
|
|
## Try Hotshot-XL yourself here: https://www.hotshot.co |
|
|
|
Hotshot-XL is an AI text-to-GIF model trained to work alongside [Stable Diffusion XL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0). |
|
|
|
Hotshot-XL can generate GIFs with any fine-tuned SDXL model. This means two things: |
|
1. You’ll be able to make GIFs with any existing or newly fine-tuned SDXL model you may want to use. |
|
2. If you'd like to make GIFs of personalized subjects, you can load your own SDXL based LORAs, and not have to worry about fine-tuning Hotshot-XL. This is awesome because it’s usually much easier to find suitable images for training data than it is to find videos. It also hopefully fits into everyone's existing LORA usage/workflows :) See more [here](https://github.com/hotshotco/Hotshot-XL/blob/main/README.md#text-to-gif-with-personalized-loras). |
|
|
|
Hotshot-XL is compatible with SDXL ControlNet to make GIFs in the composition/layout you’d like. See [here](https://github.com/hotshotco/Hotshot-XL/blob/main/README.md#text-to-gif-with-controlnet) for more info. |
|
|
|
Hotshot-XL was trained to generate 1 second GIFs at 8 FPS. |
|
|
|
Hotshot-XL was trained on various aspect ratios. For best results with the base Hotshot-XL model, we recommend using it with an SDXL model that has been fine-tuned with 512x512 images. You can find an SDXL model we fine-tuned for 512x512 resolutions [here](https://github.com/hotshotco/Hotshot-XL/blob/main/README.md#text-to-gif-with-personalized-loras). |
|
|
|
|
|
|
|
 |
|
 |
|
|
|
Source code is available at https://github.com/hotshotco/Hotshot-XL. |
|
|
|
# Model Description |
|
- **Developed by**: Natural Synthetics Inc. |
|
- **Model type**: Diffusion-based text-to-GIF generative model |
|
- **License**: [CreativeML Open RAIL++-M License](https://huggingface.co/hotshotco/Hotshot-XL/raw/main/LICENSE.md) |
|
- **Model Description**: This is a model that can be used to generate and modify GIFs based on text prompts. It is a Latent Diffusion Model that uses two fixed, pretrained text encoders (OpenCLIP-ViT/G and CLIP-ViT/L). |
|
- **Resources for more information**: Check out our [GitHub Repository](https://github.com/hotshotco/Hotshot-XL). |
|
|
|
|
|
# Limitations and Bias |
|
## Limitations |
|
- The model does not achieve perfect photorealism |
|
- The model cannot render legible text |
|
- The model struggles with more difficult tasks which involve compositionality, such as rendering an image corresponding to “A red cube on top of a blue sphere” |
|
- Faces and people in general may not be generated properly. |
|
|
|
## Bias |
|
While the capabilities of video generation models are impressive, they can also reinforce or exacerbate social biases. |
