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README.md

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+---
+tags:
+- text-to-video
+- lora
+- diffusers
+- template:sd-lora
+- ai-toolkit
+base_model: Wan-AI/Wan2.1-T2V-14B-Diffusers
+license: creativeml-openrail-m
+inference:
+  parameters:
+    width: 1024
+    height: 1024
+instance_prompt: 4viv4
+---
+
+# my_first_lora_v1-lora
+
+Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
+
+
+
+## Trigger words
+
+You should use `4viv4` 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](bigdoinks420518/my_first_lora_v1-lora/tree/main) them in the Files & versions tab.
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+
+pipeline = AutoPipelineForText2Image.from_pretrained('Wan-AI/Wan2.1-T2V-14B-Diffusers', torch_dtype=torch.bfloat16).to('cuda')
+pipeline.load_lora_weights('bigdoinks420518/my_first_lora_v1-lora', weight_name='my_first_lora_v1_000001750.safetensors')
+image = pipeline('4viv4').images[0]
+image.save("my_image.png")
+```
+
+For 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)
+