Update README.md

README.md

@@ -4,6 +4,7 @@ tags:
 - lora
 - diffusers
 - template:diffusion-lora
+- C-Anime
 widget:
 - text: '-'
   output:
@@ -11,19 +12,59 @@ widget:
 base_model: black-forest-labs/FLUX.1-dev
 instance_prompt: CAnime
 license: creativeml-openrail-m
+library_name: transformers
 ---
 # CAnime-LoRA
 
 <Gallery />
 
+- Hosted Here🧨: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC
+
+**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/CAnime-LoRA**
+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           | 21 & 2000|
+| Epoch                     | 12  | Save Every N Epochs       | 1      |
+
+    Labeling: florence2-en(natural language & English)
+    
+    Total Images Used for Training : 13
+    
+## Best Dimensions
+
+- 1024 x 1024 (Default)
+  
+## Setting Up
+```
+import torch
+from pipelines import DiffusionPipeline
+
+base_model = "black-forest-labs/FLUX.1-dev"
+pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
+
+lora_repo = "prithivMLmods/CAnime-LoRA"
+trigger_word = "CAnime"  
+pipe.load_lora_weights(lora_repo)
+
+device = torch.device("cuda")
+pipe.to(device)
+```
 
 ## Trigger words
 
 You should use `CAnime` to trigger the image generation.
 
-
 ## Download model
 
 Weights for this model are available in Safetensors format.
 
-[Download](/prithivMLmods/CAnime-LoRA/tree/main) them in the Files & versions tab.
+[Download](/prithivMLmods/CAnime-LoRA/tree/main) them in the Files & versions tab.