Update README.md

README.md

@@ -102,15 +102,13 @@ pipeline = FluxPipeline.from_pretrained(
 #pipeline.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Comment out if you have enough GPU VRAM
 
 adapter='leaf-flux.safetensors' #Step 16000, final step
-#adapter='leaf-flux-step-3000.safetensors' #Step 3000
-#adapter='leaf-flux-step-3500.safetensors' #Step 3500
+#adapter='leaf-flux-step-11000.safetensors' #Step 11000, earlier checkpoint
 
 pipeline.load_lora_weights(repo_id, weight_name=adapter) #You need to use the weight_name parameter since the repo includes multiple checkpoints
 
 pipeline=pipeline.to('cuda')
 ```
 
-
 Image generation - Example #1:
 
 ```python
@@ -124,7 +122,7 @@ prompt="""Generate a futuristic, eco-friendly architectural concept utilizing a
 
 num_samples =2
 num_rows = 2
-n_steps=25
+n_steps=50
 guidance_scale=3.5
 all_images = []
 for _ in range(num_rows):
@@ -139,33 +137,29 @@ grid = image_grid(all_images, num_rows, num_samples,  save_individual_files=True
 grid
 ```
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/623ce1c6b66fedf374859fe7/VJXJ3MguJHk32JARdU-wV.png)
- 
 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/623ce1c6b66fedf374859fe7/qdnFLSWbzXOKeZdAUzNMH.png)
 Image generation - Example #2:
 
 ```python
-prompt="""A jar of round <bioinspired> cookies with a piece of white tape that says "Materiomics Cookies". Looks tasty. Old fashioned."""
-
-num_samples =2
-num_rows = 2
+prompt = "A sign that says 'PDF to AUDIO' with organic shapes, <bioinspired>" 
+num_samples =1
+num_rows =1
 n_steps=25
-guidance_scale=15.
+guidance_scale=10
 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,
-                     height=1024, width=1024,).images
+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_grid(all_images, num_rows, num_samples,  save_individual_files=True, )
 grid
 ```
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/623ce1c6b66fedf374859fe7/VahIiPsIJSW0M1XmS08r-.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/623ce1c6b66fedf374859fe7/kMTHiPszlXnZoBT-4klLY.png)
+
 
 ```bibtext
 @article{BioinspiredFluxBuehler2024,