Instructions to use wolfer45/dr34ml4y-v2-i2v-low with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/dr34ml4y-v2-i2v-low with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/wan22_i2v_14b_orbit_shot_lora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wolfer45/dr34ml4y-v2-i2v-low") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
dr34ml4y-v2-i2v-low

- Prompt
- -
Model description
dr34ml4y-v2-i2v-low
Trigger words
You should use dr34ml4y-v2-i2v-low to trigger the image generation.
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Model tree for wolfer45/dr34ml4y-v2-i2v-low
Base model
Wan-AI/Wan2.2-I2V-A14B