metadata
tags:
- image-to-video
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16
license: creativeml-openrail-m
inference:
parameters:
width: 1024
height: 1024
instance_prompt: ostro
my_first_lora_v1-lora
Model trained with AI Toolkit by Ostris
Trigger words
You should use ostro to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Hex333/my_first_lora_v1-lora', weight_name='my_first_lora_v1_000004750_high_noise.safetensors')
image = pipeline('ostro').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers