Alternatives
Products that do what FlashVideo does
Two-Stage Diffusion for Fast, High-Res Video
- 1

- 2
Seedance 2.0▲425Advanced AI video creation with precise narrative control
Feb 2026 · seed.bytedance.com
- 3

- 4

- 5

- 6

- 7

- 8IA
Hey everyone! Excited to be able to share the release of `InvokeAI 2.0 - A Stable Diffusion Toolkit`, an open source project that aims to provide both enthusiasts and professionals a suite of robust image creation tools. Optimized for efficiency, InvokeAI needs only ~3.5GB of VRAM to generate a 512x768 image (and less for smaller images), and is compatible with Windows/Linux/Mac (M1 & M2). InvokeAI was one of the earliest forks off of the core CompVis repo (formerly lstein/stable-diffusion), and recently evolved into a full-fledged community driven and open source stable…
2022 · github.com
- 9

- 10
Odyssey-2▲238Instant, interactive video model that brings video to life
Nov 2025 · experience.odyssey.ml
- 11

- 12

- 13

- 14

- 15H4
Hi HN! We're proud to share Hotshot, a large-scale diffusion transformer model for text-to-video generation that we built with just a 4-person team. You can try it today in beta at https://hotshot.co, with 2 free generations per day. The model generates 5 seconds of 720p video from text prompts. It excels at prompt alignment, and consistency. It also excels at generating people, animals, and nature. In blind tests with 100 users, Hotshot generations were preferred to Runway ML 60% of the time. Hotshot generations were preferred to Luma 80% of the time. Overall, users preferred…
2024 · hotshot.co
- 16LI
The model has 3B active parameters. We put the code, homepage, paper and model links here: - Code: https://github.com/bytedance/Lance - Homepage: https://lance-project.github.io/ - Paper: https://arxiv.org/abs/2605.18678 - Model: https://huggingface.co/bytedance-research/Lance p.s. Lance is a research project, not a polished product. The model was trained using fewer than 128 GPUs.
May 2026 · github.com
- 17I4
It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch. We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control. It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU. For more technical details and examples see our blog post: https://ideogram.ai/blog/ideogram-4.0/ We will be happy to answer any questions :)
Jun 2026 · github.com
- 18DA
Hello HN! I would like to show our recent research project: DynamiCrafter. DynamiCrafter can animate open-domain still images based on text prompt by leveraging the pre-trained video diffusion priors. It supports: - Image-to-video generation - Storytelling video generation - Looping video generation - Generative frame interpolation We have released source code at https://github.com/Doubiiu/DynamiCrafter and deployed a demo at https://huggingface.co/spaces/Doubiiu/DynamiCrafter Please also refer to…
2023 · github.com
- 19

- 20

- 21

- 22

- 23

- 24

Ranked by how close each launch is in meaning, then by votes. Refine with a description →