Text-to-Video
Diffusers
lora
wan
bloom
artistic
surreal
sculpture
text-to-image
template:diffusion-lora
Instructions to use artificialguybr/Hunyuan-Bloom-Redmond-t2v-720p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use artificialguybr/Hunyuan-Bloom-Redmond-t2v-720p 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("tencent/HunyuanVideo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("artificialguybr/Hunyuan-Bloom-Redmond-t2v-720p") prompt = "Bloom. A macro timelapse opens on a clean, stainless-steel counter. A perfect bud of sushi rice, wrapped in a dark sheet of nori, sits at the center. The bloom begins as the nori unfurls, revealing petals made of paper-thin slices of vibrant pink tuna, orange salmon, and buttery hamachi. The camera drifts inward as layers of avocado, cucumber, and glistening tobiko roe are exposed. A final, delicate layer of pickled ginger petals opens to reveal the core: a single, perfect sphere of wasabi, resting in a tiny pool of dark soy sauce. The shot holds on this stunning, edible blossom of culinary precision." 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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