Instructions to use ttrishhr/anik0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ttrishhr/anik0 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("ttrishhr/anik0") prompt = "wa" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/ixsLq9T8HYquE4_HR6TPd_upscaled.png
text: wa
parameters:
negative_prompt: sa
base_model: ostris/wan22_i2v_14b_orbit_shot_lora
instance_prompt: anik0
license: apache-2.0
aniko

- Prompt
- wa
- Negative Prompt
- sa
Trigger words
You should use anik0 to trigger the image generation.
Download model
Download them in the Files & versions tab.