Instructions to use wolfer45/i2vdreamy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/i2vdreamy 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("wolfer45/i2vdreamy") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/538277491_24622514807360171_6561907489047678575_n_crop.jpg
text: '-'
- output:
url: images/538277491_24622514807360171_6561907489047678575_n_crop.jpg
text: '-'
base_model: ostris/wan22_i2v_14b_orbit_shot_lora
instance_prompt: m15510n4ry bl0wj0b d0ubl3_bj d0gg1e c0wg1rl
i2vdreamy2025

- Prompt
- -

- Prompt
- -
Model description
i2vdreamy2025
Trigger words
You should use m15510n4ry bl0wj0b d0ubl3_bj d0gg1e c0wg1rl to trigger the image generation.
Download model
Download them in the Files & versions tab.