Instructions to use DAKARA555/sio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DAKARA555/sio with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DAKARA555/sio") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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adapter_model-squirt-270epo.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b0ff56c87ed337da4c3cad43f750ae9952803af90bf90ed8bb59a9284f69788b
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size 322519480
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images/white.png
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Git LFS Details
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