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 jyo.safetensors
#3
by harshasai-dev - opened
- jyo.safetensors +3 -0
jyo.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f6b48870c2098c373057e3dd102f04808583b80d92fe500b0bf86446b93768c
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size 171969416
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