Instructions to use UX4567/crazy-video-v3.0-2005-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UX4567/crazy-video-v3.0-2005-full with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UX4567/crazy-video-v3.0-2005-full", 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
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
from huggingface_hub import HfApi
model_card = """--- license: apache-2.0 base_model: THUDM/CogVideoX-2b tags: - text-to-video - cogvideox - diffusers - jaipur - pink-city - rajasthan pipeline_tag: text-to-video library_name: diffusers
CogVideoX-2B - Jaipur Pink City (Full Merged)
Developed by: Kartik Sharma - Jaipur, Rajasthan, India
Finetuned version of THUDM/CogVideoX-2b on Jaipur Pink City cinematic shots. This is the fully merged version of LoRA UX4567/crazy-video-v3.0-2005.
Usage
from diffusers import CogVideoXPipeline
import torch
pipe = CogVideoXPipeline.from_pretrained("UX4567/crazy-video-v3.0-2005-full", torch_dtype=torch.float16)
pipe.enable_sequential_cpu_offload()
pipe.vae.enable_tiling()
video = pipe("a cinematic drone shot of jaipur pink city at sunset").frames[0]
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