Text-to-Video
Diffusers
Safetensors
English
efficient
mobile video generation
dit
pyramidal diffusion
Instructions to use karnewar/Neodragon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use karnewar/Neodragon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("karnewar/Neodragon", 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
Ctrl+K
- assets
- causal_video_vae
- context_adapter
- context_adapter_multistep_t2v
- diffusion_transformer_320p
- diffusion_transformer_320p_multistep_t2v
- ssd_1b_text_encoder
- ssd_1b_text_encoder_2
- ssd_1b_tokenizer
- ssd_1b_tokenizer_2
- ssd_1b_unet
- ssd_1b_vae
- text_encoder
- text_encoder_2
- text_encoder_3
- tokenizer
- tokenizer_2
- tokenizer_3
- 1.88 kB
- 9.41 kB