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", torch_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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8a73937e2096bb356049b9f5daf099a5b1e3f7cb4dd418495917c2e22c33ca74
- Size of remote file:
- 307 MB
- SHA256:
- 066ee4bfafb685c85f08174c8283cd11bc6d36f4845347f20d633ab44581601f
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