Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Paper • 2212.11565 • Published • 3
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Tune-A-Video-library/talking-man", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Tune-A-Video - talking-man
Model description
- Base model: CompVis/stable-diffusion-v1-4
- Training prompt: A person of East Asian ethnicity standing in a well-lit office environment with large windows, speaking directly to the camera, wearing a white shirt, and conveying a calm and professional demeanor. The background is slightly blurred, showcasing greenery and modern office decor, with minimal distractions
Related papers:
- Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
- Stable-Diffusion: High-Resolution Image Synthesis with Latent Diffusion Models
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Base model
CompVis/stable-diffusion-v1-4