Instructions to use wolfer45/slap-t2v-highv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/slap-t2v-highv2 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/slap-t2v-highv2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9ea40f9b99ec9ded5832205889a4270a16a132ae37eefbf470795d559fe139c6
- Size of remote file:
- 307 MB
- SHA256:
- 64c5ef5e2d9f01f2080acb6fdc165a077cb0184258483f17c2681c1af09c85d6
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