High-performance streaming video diffusion framework with pluggable model backends
Project description
flashdreams
A high-performance streaming inference framework for video diffusion models with a plugin architecture for model backends.
Features
- Streaming Inference -- Autoregressive chunk-wise video generation with per-rollout cache state for bounded VRAM and arbitrarily long rollouts
- Plugin Architecture -- Entry-point-based model discovery; third-party packages register runner configs that appear automatically in the CLI
- Multi-GPU -- Context parallelism via torchrun with automatic sharding across ranks
- Performance -- torch.compile support with CUDA graph capture and replay
- Serving -- WebRTC and gRPC integrations for real-time interactive applications
Supported Models
Wan 2.1/2.2, Cosmos Predict2, and more via first-party integration packages.
Installation
pip install flashdreams
Documentation
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
flashdreams-0.1.0-py3-none-any.whl
(232.2 kB
view details)
File details
Details for the file flashdreams-0.1.0-py3-none-any.whl.
File metadata
- Download URL: flashdreams-0.1.0-py3-none-any.whl
- Upload date:
- Size: 232.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
827f1d5df5a88bcb0a4facf0c27f61abfd1ef27a9ee5954d69ba0edd263e341f
|
|
| MD5 |
2d83f657a965448b3af504963cc4965b
|
|
| BLAKE2b-256 |
6af9e22f4b65573d21e648cb4d528b07fdc00b27c53eee46eb718a961f8a6b4c
|
