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("pseudopsych/openingdrawer", 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 - openingdrawer
Model description
- Base model: CompVis/stable-diffusion-v1-4
- Training prompt: Someone opening a drawer with their left hand, only their hand the drawer visible and from the the perspective of them
Samples
Test prompt: Someone opening a drawer
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