Instructions to use fal/SeedVR2-7B-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/SeedVR2-7B-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/SeedVR2-7B-FlashPack", 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
| { | |
| "_class_name": "SeedVRPipeline", | |
| "_diffusers_version": "0.35.2", | |
| "dit": [ | |
| "seedvr.models.dit.nadit", | |
| "NaDiT" | |
| ], | |
| "sampler": [ | |
| "seedvr.common.diffusion.samplers.euler", | |
| "EulerSampler" | |
| ], | |
| "transform_timesteps": true, | |
| "vae": [ | |
| "seedvr.models.video_vae_v3.modules.attn_video_vae", | |
| "VideoAutoencoderKLWrapper" | |
| ] | |
| } | |