rzgar AI Models

Approved models

5

Records published from this collection

Provider information

lab

Review approach

Verify each model’s source, terms, capabilities, and current availability

rzgar is recorded as the provider or repository publisher for 2 model records in this editorial directory. The collection brings those records together for research, task discovery, and careful comparison.

Provider grouping is not a statement about current API availability, pricing, commercial support, or which model is best. Those details can vary by release and host, so each model page preserves source links and leaves unknown information unfilled rather than inferred.

Review the individual record for licenses, modalities, limits, deployment requirements, and evaluation evidence. Approval controls whether this collection and its models can be visible to search engines or included in the sitemap.

rzgar model list

Review each record individually; collection membership does not imply a recommendation or guarantee of availability.

5 models
ModelCapabilityContextInput $/1MOutput $/1MSpeed
rzgar/Bernini-R-FP32-ComfyUI
rzgar
10.0
rzgar/Bernini-R-nvfp4
rzgar
10.0
rzgar/LTX-2.3-Cinematic-VAE
rzgar
10.0
rzgar/LTX-2.3-Motion-Enhancer-n4w
rzgar
10.0
rzgar/Wan2.2_I2V_R1_base_v2
rzgar
10.0

5 models · click a column to sort

About the capability score: a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

About rzgar models

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.