Instructions to use DAKARA555/side with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DAKARA555/side 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/side") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
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oid sha256:5f8c93c88d810a2cb98be1725f5dc5afdd1b2420806d71cc3887053ef649355e
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images/white.png
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Git LFS Details
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