IFM/PAN2
image-text-to-video model by IFM
From the publisher
Model card & documentation
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Developed by the Institute of Foundation Models (IFM) at MBZUAI. PAN 2 is a general-purpose world model: it simulates how the world will change in response to actions. Given a current observation (an optional image plus text) and actions described in text, it simulates the outcome as a video of up to 20 seconds. This supports simulative reasoning: an agent can imagine the outcomes of its candidate actions before choosing among them, by simulating each plan with PAN 2 and acting on the one whose simulated outcome is best. PAN 2 follows the Generative Latent Prediction (GLP) architecture formalized in Critique of World Models and couples conceptual reasoning by a large language model with perceptual reasoning by a latent diffusion model. The language model, the conceptual reasoning backbone, reasons over the observation and the requested actions and writes the next world state as a structured, time-grounded description of events, timed…
Read the full model card ↗ · Preview checked 2026-11-12T10:18:18.665Z
Inside the original model card — Document outline
- PAN 2
- Overview
- Checkpoints
- Usage
- Local Deployment of the PAN 2 Simulator
- Full PAN 2 Workflow
- Prompting Guidance
- Headline Results
- Simulation Capabilities and Multi-step Plans
- Public Benchmarks
- Human Evaluation
- Safety Guardrails
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
IFM/PAN2 is a image-text-to-video model repository published by IFM on Hugging Face. The source reports the diffusers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-video
- Library
- diffusers
- Recent downloads (30 days)
- 248
- Cumulative likes
- 128
- Hugging Face trending score
- 117
- Reported safetensors parameters
- 29,201,996,992
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-07T23:42:01.000Z
- Last modified
- 2026-11-12T10:41:23.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-14T06:56:53.534Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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