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Model reference · open weights

Hotshot-XL

Available as managed deployment Video hotshotco Text→video 1 variants 5k dl/mo

Hotshot-XL is an open-weight video model from hotshotco. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

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Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released byhotshotco
TypeVideo models
TaskText→video
Parameters (lead)2.8B
Runs withdiffusers
Released2023-10-03
Popularity5k downloads / month
LicenceOpen weights

About

What Hotshot-XL is

Hotshot-XL is an AI text-to-GIF model trained to work alongside Stable Diffusion XL.

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.

Hotshot-XL is compatible with SDXL ControlNet to make GIFs in the composition/layout you’d like. See here for more info.

Hotshot-XL was trained to generate 1 second GIFs at 8 FPS.

Read the full model card

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.

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
  • 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.

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.

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys hotshot-xl for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (hotshot-xl below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/videos/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"hotshot-xl","prompt":"a drone shot over a forest"}'

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