Hugging Face model: minar09/Steady-Forcing-T2V-1.3B
Author: minar09
Created: 2026-06-01 03:09:42
Last modified: 2026-06-16 01:00:52
Pipeline: text-to-video
Library: diffusers
Likes: 0 | Downloads: 0
Tags: diffusers, text-to-video, video-generation, diffusion, autoregressive, long-horizon, long-video, fixed-camera, steady-forcing, nature-flow, static-view, spatial-persistence, motion-continuity, nature-video, fluid-dynamics, background-anchoring, temporal-consistency, dual-memory, wan2.1, reward-forcing, arxiv:2606.14732, en, dataset:minar09/InfiniFlow-Bench, base_model:JaydenLu666/Reward-Forcing-T2V-1.3B, base_model:finetune:JaydenLu666/Reward-Forcing-T2V-1.3B, license:apache-2.0, model-index, co2_eq_emissions, region:us
Base model relation: finetune
Base models: id: JaydenLu666/Reward-Forcing-T2V-1.3B
Card metadata:
language: en
license: apache-2.0
library_name: diffusers
pipeline_tag: text-to-video
base_model: JaydenLu666/Reward-Forcing-T2V-1.3B
base_model_relation: finetune
datasets: minar09/InfiniFlow-Bench
tags: text-to-video, video-generation, diffusion, autoregressive, long-horizon, long-video, fixed-camera, steady-forcing, nature-flow, static-view, spatial-persistence, motion-continuity, nature-video, fluid-dynamics, background-anchoring, temporal-consistency, dual-memory, wan2.1, reward-forcing, arxiv:2606.14732
instance_prompt: Steady-Forcing: Balancing, Spatial Persistence, Motion Continuity, Long-Horizon, Nature Video Diffusion, drift-stagnation, nature-flow, fixed-camera, static nature
co2_eq_emissions: emissions: 96000
source: Estimated — 67 training hours on 8x NVIDIA A100 80GB GPUs at ~400W each, Korean grid (~0.45 kg CO2/kWh)
training_type: fine-tuning
geographical_location: South Korea
hardware_used: 8x NVIDIA A100 80GB GPUs