Update README.md

README.md

@@ -26,6 +26,26 @@ license: creativeml-openrail-m
 
 <Gallery />
 
+**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
+
+## Model description 
+
+**prithivMLmods/Canopus-LoRA-Flux-FaceRealism**
+
+Image Processing Parameters 
+
+| Parameter                 | Value  | Parameter                 | Value  |
+|---------------------------|--------|---------------------------|--------|
+| LR Scheduler              | constant | Noise Offset              | 0.03   |
+| Optimizer                 | AdamW  | Multires Noise Discount   | 0.1    |
+| Network Dim               | 64     | Multires Noise Iterations | 10     |
+| Network Alpha             | 32     | Repeat & Steps           | 30 & 3.8K+ |
+| Epoch                     | 20     | Save Every N Epochs       | 1      |
+
+    Labeling: florence2-en(natural language & English)
+    
+    Total Images Used for Training : 70 [ Hi-RES ] & More ...............
+
 
 ## Trigger words
 
@@ -51,6 +71,23 @@ Here’s a table format for the Hugging Face model **"prithivMLmods/Canopus-LoRA
 | **License**                | Open-Access                                                                                                   |
 | **Tags**                   | LoRA, Face Realism, Flux, Image Generation                                                   |
 
+## Setting Up
+```
+import torch
+from pipelines import DiffusionPipeline
+
+base_model = "prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0"
+pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
+
+lora_repo = "prithivMLmods/Canopus-LoRA-Flux-FaceRealism"
+trigger_word = "Ultra realistic"  # Leave trigger_word blank if not used.
+pipe.load_lora_weights(lora_repo)
+
+device = torch.device("cuda")
+pipe.to(device)
+```
+
+
 ## Download model
 
 Weights for this model are available in Safetensors format.