Update README.md

README.md

@@ -104,7 +104,7 @@ pipeline = FluxPipeline.from_pretrained(
 pipeline.load_lora_weights(repo_id, )
 pipeline=pipeline.to('cuda')
 ```
-Image generation:
+Image generation - Example #1:
 
 ```python
 prompt=('Generate an image of a golden spider web network intertwined with collagen veins, '
@@ -129,3 +129,34 @@ grid
 ```
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/623ce1c6b66fedf374859fe7/0l-gytnGs_B6r441rT4mt.png)
+
+Image generation - Example #2:
+
+```python
+prompt="""Generate a futuristic, eco-friendly architectural concept utilizing a biomimetic composite material that integrates the structural efficiency of spider silk with the adaptive porosity of plant tissues. Utilize the following key features:
+
+* Fibrous architecture inspired by spider silk, represented by sinuous lines and curved forms.
+* Interconnected, spherical nodes reminiscent of plant cell walls, emphasizing growth and adaptation.
+* Open cellular structures echoing the permeable nature of plant leaves, suggesting dynamic exchanges and self-regulation capabilities.
+* Gradations of opacity and transparency inspired by the varying densities found in plant tissues, highlighting functional differentiation and multi-functionality.
+"""
+
+num_samples =2
+num_rows = 2
+n_steps=25
+guidance_scale=3.5
+all_images = []
+for _ in range(num_rows):
+     
+        
+    image = pipeline(prompt,num_inference_steps=n_steps,num_images_per_prompt=num_samples,
+                     guidance_scale=guidance_scale,).images
+     
+    all_images.extend(image)
+
+grid = image_grid(all_images, num_rows, num_samples,
+                  save_individual_files=True,  )
+grid
+```
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/623ce1c6b66fedf374859fe7/8jFLndvhGkH6iDV25MNQ2.png)