Update README.md

README.md

@@ -3,60 +3,28 @@ tags:
   - text-to-image
   - lora
   - diffusers
-  - futuristic
-  - cars
-  - midjourney
-  - SDXL
-base_model: strangerzonehf/Flux-Midjourney-Mix2-LoRA
-instance_prompt: "A futuristic racing car in a neon-lit cityscape, cinematic lighting"
-license: creativeml-openrail-m
-language:
-  - en
-library_name: diffusers
-pipeline_tag: text-to-image
+  - flux-diffusion
 widget:
-  - text: A hyper-realistic futuristic racing car in a neon city
-    output:
-      url: images/example1.jpg
-  - text: A sci-fi spaceship flying over a futuristic city, cinematic lighting
-    output:
-      url: images/example2.jpg
+  - text: "a red Nissan GTR R35 in a rainy city scene"
+base_model:
+  - black-forest-labs/FLUX.1-dev
+instance_prompt: "a {subject} in a {scene}"
+pipeline_tag: text-to-image
+library_name: diffusers
+metrics:
+  - FID
 ---
-
-# Xena
+# Test123
 
 <Gallery />
 
-## About the Model
-
-Xena is a LoRA model fine-tuned for creating stunning, futuristic racing car imagery. It is based on the **Flux-Midjourney-Mix2-LoRA** and integrates the **Midjourney V6.1 meets FLUX [+SDXL]** LoRA for artistic, detailed, and sci-fi-inspired results.
-
----
-
-## Download the Model
-
-Weights for this model are available in Safetensors format. You can download them from the **[Files & Versions tab](https://huggingface.co/Xena18284/Xena/tree/main)**.
-
----
-
-## How to Use
-
-### Using Diffusers (Python Library)
+## Model description 
 
-Here's how you can use the model with the `diffusers` library:
+Testing 
 
-```python
-from diffusers import StableDiffusionPipeline
-from safetensors.torch import load_file
 
-# Load the base pipeline
-pipe = StableDiffusionPipeline.from_pretrained("Xena18284/Xena")
+## Download model
 
-# Load the LoRA weights
-pipe.load_lora_weights("racing_car_style_v1.safetensors")  # Your first LoRA
-pipe.load_lora_weights("aidmaMJ61-FLUX-v05.safetensors")  # Midjourney v6.1 + FLUX
+Weights for this model are available in Safetensors format.
 
-# Generate an image
-prompt = "A futuristic racing car on a neon-lit street at night, cinematic lighting"
-image = pipe(prompt).images[0]
-image.save("racing_car_output.png")
+[Download](/Xena18284/Test123/tree/main) them in the Files & versions tab.