Update README.md

README.md

@@ -3,12 +3,17 @@ license: creativeml-openrail-m
 library_name: diffusers
 pipeline_tag: text-to-image
 ---
+The model is created using the following steps:
+- Find the desired model (checkpoit or lora) on Civitai
+- You can see some conversion scripts in diffusesrs. This time, only the scripts for converting checkpoit and lora are used.
+ It depends on the model type of Civitai. If it is a lora model, you need to specify a basic model
+
 
 ```
 pipeline = DiffusionPipeline.from_pretrained(
     "Andyrasika/lora_diffusion"
     ,custom_pipeline = "lpw_stable_diffusion"  
-    ,torch_dtype        = torch.float16
+    ,torch_dtype=torch.float16
 )
 lora = ("/content/lora_model.safetensors",0.8)
 pipeline = __load_lora(pipeline=pipeline,lora_path=lora[0],lora_weight=lora[1])