Instructions to use harsha19/vid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use harsha19/vid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("harsha19/vid") prompt = "rups" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload vindy.safetensors
Browse files- vindy.safetensors +3 -0
vindy.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e8b50b85f51fba8f7c5626b877d47a814717b6829cd8537df8cde2d236521737
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size 171969416
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