Text-to-Video
Diffusers
lora
wan
heartmorph
heart-shape
transformation
fluid-dynamics
artistic
text-to-image
template:diffusion-lora
Instructions to use artificialguybr/Heartmorph-Redmond-WAN2-T2V-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use artificialguybr/Heartmorph-Redmond-WAN2-T2V-14B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-T2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("artificialguybr/Heartmorph-Redmond-WAN2-T2V-14B") prompt = "Heartmorph. An extreme overhead shot of a clear glass mug filled with dark black coffee sitting on a white marble counter. Two thin streams of cream are poured simultaneously from opposite sides of the frame, entering the coffee at symmetrical points. The camera is locked in position as the white cream sinks and billows through the dark liquid, creating ghostly tendrils. The two streams swirl toward each other with fluid, hypnotic motion, their edges curling and folding. They meet at the center-bottom, their combined flow forming a distinct heart shape in the coffee before gradually diffusing." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
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