Generate AI videos with Stable Video Diffusion and next-generation video models on powerful cloud GPUs.
AI video generation is transforming content creation, advertising, and entertainment. VoltageGPU provides the GPU infrastructure to run video generation models at scale, from Stable Video Diffusion to emerging architectures. Deploy video generation pipelines on H100 and A100 GPUs with the VRAM and compute needed for high-resolution, multi-second video clips.
Video generation requires 40-80GB+ VRAM. Our A100 80GB and H100 GPUs handle the largest video models.
Generate multiple video clips in parallel across GPU clusters for production-scale content pipelines.
At $1.10/h for an A100 80GB, generating a 4-second video clip costs under $0.10 on VoltageGPU.
Deploy custom ComfyUI workflows, AnimateDiff pipelines, or your own video generation code.
Convert product photos, illustrations, or AI-generated images into animated video content.
As new video models launch (Sora alternatives, CogVideoX, Hunyuan), deploy them instantly on VoltageGPU.
import torch
from diffusers import StableVideoDiffusionPipeline
from diffusers.utils import load_image, export_to_video
# Load Stable Video Diffusion on VoltageGPU H100
pipe = StableVideoDiffusionPipeline.from_pretrained(
"stabilityai/stable-video-diffusion-img2vid-xt",
torch_dtype=torch.float16,
variant="fp16",
)
pipe.to("cuda")
# Load a conditioning image
image = load_image(
"https://example.com/product-photo.jpg"
)
image = image.resize((1024, 576))
# Generate a 25-frame video (4 seconds at 6fps)
generator = torch.manual_seed(42)
frames = pipe(
image,
decode_chunk_size=8,
generator=generator,
num_frames=25,
).frames[0]
# Export to MP4
export_to_video(frames, "output.mp4", fps=6)
print("Video generated: output.mp4")$5 free credit. No credit card required.