import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("YOUTUBE5678/Crazy-Video-v3.0-5", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]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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