Instructions to use wolfer45/bullettimehigh-wan22-i2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/bullettimehigh-wan22-i2v 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/bullettimehigh-wan22-i2v") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
images/538277491_24622514807360171_6561907489047678575_n_crop.jpg
ADDED
|
Git LFS Details
|
wan2.2bullet_time_high_noise.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c85acd5ba81b31ba4c61a15b8fcbff095d6018a991b0fd2ca232f2fd5fd0bd4c
|
| 3 |
+
size 38436168
|