Instructions to use stdstu123/LynnReal-Onmi-flash-beta-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stdstu123/LynnReal-Onmi-flash-beta-0.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stdstu123/LynnReal-Onmi-flash-beta-0.1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
LynnReal Flash
Code: LynnReal-AI/LynnReal-Omni
A 42-block joint video/audio DiT with three denoiser evaluations. Supports text-to-video and native first/last keyframes. Middle blocks use spatial stride-two token selection with full-resolution residual restoration.
The complete transformer uses trained W8A8 projections: INT8 weights, per-token INT8 activations, INT32 accumulation, and BF16 outputs. Sensitive projections remain BF16. Packed weights and per-channel scales are stored without requantization in indexed Hugging Face safetensors shards.
Load using the release model.flash_int8.load_transformer or the launchers
in script/sample/flash/int8. This custom packed format requires that loader;
a generic Diffusers from_pretrained does not install the INT8 operators.
Shared conditioning and codec components are included in this model bundle.
See LICENSE and NOTICE for upstream terms.
β‘π₯ ComfyUI β the fastest way to try it!
This checkpoint also runs in ComfyUI, at its trained three steps, from three workflows that ship
with the release: t2v, ti2v (one first frame) and ref2v (reference pictures), plus the
Light VAE and the node pack that implements the token selection! On a single H100 80 GB at
1344Γ768, warm, three measured runs per cell:
| Task | 5 s Β· generate | 5 s Β· click-to-video | 10 s Β· generate | 10 s Β· click-to-video |
|---|---|---|---|---|
| Text β video | 8.4 s | 12.2 s | 22.0 s | 29.1 s |
| First frame β video | 8.9 s | 13.0 s | 23.1 s | 30.1 s |
| References β video | 9.5 s | 13.2 s | 24.2 s | 31.1 s |
A five-second 1344Γ768 clip with native stereo audio in about eight and a half seconds on
one card: three denoiser steps and both decoders included. generate is the Generate-wall
convention (first denoiser forward to decoded frames), click-to-video is what you actually wait
for! Videos longer than 11 seconds are not usable in that path yet β the accelerated path for
long clips is still being fixed.
Everything it needs β workflows, node pack, weights and demo assets β is in
π€ stdstu123/LynnReal-Onmi-beta-0.1 Β· comfyui.
The weights below are the original bundle the script/sample/ launchers load.
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