Instructions to use Nesslovver/Pusfix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nesslovver/Pusfix 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("Nesslovver/Pusfix") prompt = "Pusfix" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- bcd7bdd317bf4b3b3c38598d28aaf9156cfd2119c619682601452bf44ddfea7c
- Size of remote file:
- 214 kB
- SHA256:
- 12674ef5f2a5a9b1c260c5543be772d438828943faa023b9373f0224e4da8363
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