How to use Deepak1206/text-to-video-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Deepak1206/text-to-video-model", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0]
How to use Deepak1206/text-to-video-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Deepak1206/text-to-video-model", device_map="auto")
https://huggingface.co/Deepak1206/text-to-video-model/resolve/main/tokenizer/tokenizer.json
hf download hf://Deepak1206/text-to-video-model/tokenizer/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Deepak1206/text-to-video-model/resolve/main/tokenizer/tokenizer.json
