Instructions to use Danielbsittler/Blink2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Danielbsittler/Blink2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Magic-Wan-T2IV-V3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Danielbsittler/Blink2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload 4 files
Browse files
iGoon%20-%20Blink_Front_Doggystyle_I2V_HIGH.safetensors
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wan22-ultimatedeepthroat-I2V-101epoc-low-k3nk.safetensors
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wan22-ultimatedeepthroat-i2v-102epoc-high-k3nk.safetensors
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