Instructions to use hashu786/cine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hashu786/cine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tencent/HunyuanVideo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hashu786/cine") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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cine_0100.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3639b465f8f28a88c325d259eebe8f0609a69fa74a8c821beddb043fb073fbf7
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size 327212096
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images/81904488-4d18-47a6-986d-ec76535843a0.jpg
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Git LFS Details
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