hyperchainsad/my_first_lora_v1-lora

1---2tags:3- text-to-video4- lora5- diffusers6- template:sd-lora7- ai-toolkit8base_model: ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf169license: creativeml-openrail-m10inference:11  parameters:12    width: 102413    height: 102414---15 16# my_first_lora_v1-lora17 18Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)19 20 21 22## Trigger words23 24No trigger words defined.25 26## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.27 28Weights for this model are available in Safetensors format.29 30[Download](hyperchainsad/my_first_lora_v1-lora/tree/main) them in the Files & versions tab.31 32## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)33 34```py35from diffusers import AutoPipelineForText2Image36import torch37 38pipeline = AutoPipelineForText2Image.from_pretrained('ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16', torch_dtype=torch.bfloat16).to('cuda')39pipeline.load_lora_weights('hyperchainsad/my_first_lora_v1-lora', weight_name='my_first_lora_v1_high_noise.safetensors')40image = pipeline('a beautiful landscape').images[0]41image.save("my_image.png")42```43 44For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)45 46