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README.md

@@ -16,7 +16,7 @@ pipeline_tag: text-to-image
 #       prompt
 #     output:
 #       url: https://...
-instance_prompt: Priyanka
+instance_prompt: Model3
 ---
 
 # Matify
@@ -32,7 +32,7 @@ It was trained on [Replicate](https://replicate.com/) using AI toolkit: https://
 
 ## Trigger words
 
-You should use `Priyanka` to trigger the image generation.
+You should use `Model3` to trigger the image generation.
 
 
 ## Run this LoRA with an API using Replicate
@@ -41,7 +41,7 @@ You should use `Priyanka` to trigger the image generation.
 import replicate
 
 input = {
-    "prompt": "Priyanka",
+    "prompt": "Model3",
     "lora_weights": "https://huggingface.co/hellomrsheel/Matify/resolve/main/lora.safetensors"
 }
 
@@ -62,7 +62,7 @@ import torch
 
 pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
 pipeline.load_lora_weights('hellomrsheel/Matify', weight_name='lora.safetensors')
-image = pipeline('Priyanka').images[0]
+image = pipeline('Model3').images[0]
 ```
 
 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)

config.yaml

@@ -5,7 +5,7 @@ config:
   - type: custom_sd_trainer
     training_folder: output
     device: cuda:0
-    trigger_word: Priyanka
+    trigger_word: Model3
     network:
       type: lora
       linear: 16

lora.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dd4295d9e7f77d62a215a328900a7355d188eaf131c6f368d86b1463c0961fb3
-size 171969424
+oid sha256:d9e0d4e4aecb19ea47c8062a9dd6dfad18a9a69776d0e6e28b322def60d71cca
+size 171969416