Upload README.md with huggingface_hub

README.md

@@ -5,13 +5,13 @@ tags:
 - diffusers
 - template:sd-lora
 - ai-toolkit
-base_model: Wan-AI/Wan2.1-T2V-14B-Diffusers
+base_model: ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16
 license: creativeml-openrail-m
 inference:
   parameters:
     width: 1024
     height: 1024
-instance_prompt: 4viv4
+instance_prompt: aviv4
 ---
 
 # my_first_lora_v1-lora
@@ -22,7 +22,7 @@ Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
 
 ## Trigger words
 
-You should use `4viv4` to trigger the image generation.
+You should use `aviv4` to trigger the image generation.
 
 ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
 
@@ -36,9 +36,9 @@ Weights for this model are available in Safetensors format.
 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]
+pipeline = AutoPipelineForText2Image.from_pretrained('ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16', torch_dtype=torch.bfloat16).to('cuda')
+pipeline.load_lora_weights('bigdoinks420518/my_first_lora_v1-lora', weight_name='my_first_lora_v1_low_noise.safetensors')
+image = pipeline('aviv4').images[0]
 image.save("my_image.png")
 ```