Xena18284 commited on
Commit
fd791b6
·
verified ·
1 Parent(s): da27a26

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +31 -5
README.md CHANGED
@@ -5,21 +5,47 @@ tags:
5
  - diffusers
6
  - template:diffusion-lora
7
  widget:
8
- - text: '-'
9
  output:
10
  url: images/9982c7dd-f736-4960-9244-8e89567101a8.jpg
11
  base_model: strangerzonehf/Flux-Midjourney-Mix2-LoRA
12
  instance_prompt: null
13
-
14
  ---
 
15
  # Xena
16
 
17
  <Gallery />
18
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19
 
 
 
 
20
 
21
- ## Download model
 
22
 
23
- Weights for this model are available in Safetensors format.
 
 
24
 
25
- [Download](/Xena18284/Xena/tree/main) them in the Files & versions tab.
 
 
 
 
5
  - diffusers
6
  - template:diffusion-lora
7
  widget:
8
+ - text: 'A futuristic racing car on a neon-lit street at night'
9
  output:
10
  url: images/9982c7dd-f736-4960-9244-8e89567101a8.jpg
11
  base_model: strangerzonehf/Flux-Midjourney-Mix2-LoRA
12
  instance_prompt: null
 
13
  ---
14
+
15
  # Xena
16
 
17
  <Gallery />
18
 
19
+ ## About the Model
20
+
21
+ Xena is a LoRA model fine-tuned for creating stunning, futuristic racing car imagery. It is based on the Flux-Midjourney-Mix2-LoRA and is optimized for use with car-themed prompts, delivering highly detailed and vibrant results.
22
+
23
+ ---
24
+
25
+ ## Download the Model
26
+
27
+ 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)**.
28
+
29
+ ---
30
+
31
+ ## How to Use
32
+
33
+ ### Using Diffusers (Python Library)
34
+
35
+ Here's how you can use the model with the `diffusers` library:
36
 
37
+ ```python
38
+ from diffusers import StableDiffusionPipeline
39
+ from safetensors.torch import load_file
40
 
41
+ # Load the base pipeline
42
+ pipe = StableDiffusionPipeline.from_pretrained("strangerzonehf/Flux-Midjourney-Mix2-LoRA")
43
 
44
+ # Load the LoRA weights
45
+ lora_weights = load_file("racing_car_style_v1.safetensors")
46
+ pipe.load_lora_weights(lora_weights)
47
 
48
+ # Generate an image
49
+ prompt = "A futuristic racing car on a neon-lit street at night"
50
+ image = pipe(prompt).images[0]
51
+ image.save("racing_car_output.png")