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Encouraging Panda.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9f0760ba9821c33c80a032e7c259fd98c1934a0aa05fb02d9f0b52d357907b2
+size 171969400

Encouraging Panda_000000011.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09437013fe86fc3d886fac47716c4623e0c3ec859b9fff8c0e7743a7d890877b
+size 171969400

README.md

@@ -9,7 +9,7 @@ tags:
 widget:
 -   text: Image of TOK
     output:
-        url: samples/1740324413598__000000020_0.jpg
+        url: samples/1740325165777__000000020_0.jpg
 base_model: black-forest-labs/FLUX.1-dev
 instance_prompt: TOK
 license: other
@@ -17,7 +17,7 @@ license_name: flux-1-dev-non-commercial-license
 license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
 ---
 
-# Concerned Buzzard
+# Encouraging Panda
 Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
 <Gallery />
 
@@ -38,7 +38,7 @@ from diffusers import AutoPipelineForText2Image
 import torch
 
 pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
-pipeline.load_lora_weights('sarathmenon/lora_weights', weight_name='Concerned Buzzard.safetensors')
+pipeline.load_lora_weights('sarathmenon/lora_weights', weight_name='Encouraging Panda.safetensors')
 image = pipeline('Image of TOK').images[0]
 image.save("my_image.png")
 ```