Fractalyze/kandinsky6-rtx5090-showcase
text-to-video model by Fractalyze
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Kandinsky 6.0 Pro-distill (29B joint video+audio DiT, 56 GiB in BF16) generating 864x480, 121 frames at 24 fps with audio on a single RTX 5090 (32 GB) in a 60 GB host, with vLLM-Omni. Upstream cannot serve this checkpoint on that machine; this branch does it in 151 s, 36% faster than the BF16 reference configuration, at LPIPS 0.11 against that reference. A fast, lossy mode takes 105 s (Results). Every change is behind a switch, off by default. W1: 864x480, 121 frames, 10 PiFlow steps, guidance 1.0, audio on, one RTX 5090, batch 1, seed 42. Speed: median of a mirrored A B B A session. Quality: LPIPS mean / worst frame over nine prompts, against a compiled BF16 reference generated on the same code and host. The reference's wall time is from its own gate run, not the same session. W2 (Pro-5s, 50 steps, CFG 5.0): 1611 s…
Read the full model card ↗ · Preview checked 2026-10-08T08:17:14.625Z
Inside the original model card — Document outline
- Kandinsky 6 Pro with audio on one RTX 5090: a 5-second clip in 151 s
- What's inside
- Results
- Quick start
- Samples
- Limitations
- Links
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Fractalyze/kandinsky6-rtx5090-showcase is a text-to-video model repository published by Fractalyze on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-video
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-08T06:14:46.000Z
- Last modified
- 2026-10-08T06:15:05.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: kandinskylab/Kandinsky-6.0-Pro-distill-5s-Diffusers
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-08T06:40:12.812Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree
Wan-AI/Wan2.1-T2V-1.3B-Diffusers
QuantStack/Wan2.2-TI2V-5B-GGUF