Update README.md

README.md

@@ -16,7 +16,7 @@ widget:
 - text: >-
     The image shows the portrait of African-American woman.Imagine a close-up of an east-african albino woman's relaxed face with detailed white albino skin, with long blonde dreads hair cascading down her back and blonde eyebrows. She appears to be wearing a white blouse. Her hair is styled in loose curls with blonde eyebrows and she is wearing gold earrings. The overall mood of the image is serious and confident.
   output:
-    url: https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/rIQAgVfkGgQ664hL2vwFt.png
+    url: https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/iD6-KM964r41Pm_whAl23.png
 - text: >-
     long shot scenic professional photograph of urban graffiti style
     professional 3d model A vibrant portrait captures the captivating essence of
@@ -65,14 +65,14 @@ widget:
     url: https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/NbWA-K7jVREc_RZ8ute68.png
 
 ---
-# Kenza Né Banunga
-![image/png](./banunga_banner.png)
+# Patrice Evra
+![image/png](./evra_banner.png)
 
 Trained on RTX3060 using:
-https://github.com/kijai/ComfyUI-FluxTrainer.git
+Kohyai_SS
 
 <Gallery />
-# Kenza Né Banunga
+# KPatrice Evra
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/Rlj3Wl2oqRgJZhbqtnAqO.png)
 
 
@@ -81,13 +81,13 @@ https://github.com/kijai/ComfyUI-FluxTrainer.git
 
 
 ## Trigger words
-You should use `kenza_né_banunga` to trigger the image generation.
+You should use `evrahwfs` to trigger the image generation.
 ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
 ```py
 from diffusers import AutoPipelineForText2Image
 import torch
 pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
-pipeline.load_lora_weights('obann001/Banunga_Flux_LoRA', weight_name='lora.safetensors')
+pipeline.load_lora_weights('obann001/Patrice_Evra', weight_name='lora.safetensors')
 image = pipeline('your prompt').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)