Update README.md

README.md

@@ -23,6 +23,9 @@ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights
 ![img_1](./image_1.jpg)
 ![img_2](./image_2.jpg)
 ![img_3](./image_3.jpg)
+![img_4](./image_0.png)
+![img_5](./image_13.png)
+![img_6](./image_17.png)
 
 
 
@@ -31,12 +34,19 @@ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights
 #### How to use
 
 ```python
-# TODO: add an example code snippet for running this diffusion pipeline
+from diffusers import AutoPipelineForText2Image
+import torch
+
+pipeline = AutoPipelineForText2Image.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, safety_checker=None).to("cuda")
+pipeline.load_lora_weights("iamkaikai/MATISSEE-LORA", weight_name="pytorch_lora_weights.safetensors")
+prompt = "MATISSEE-ART, brown, beige, coral, gray, orange red, violet, black, teal"
+for i in range(20):
+    image = pipeline(prompt, num_inference_steps=20).images[0]
+    image.save(f"./image_{str(i)}.png")
 ```
 
 #### Limitations and bias
-
-[TODO: provide examples of latent issues and potential remediations]
+For some reason, this LORA model will often trigger the NSFW filter. Make sure you turn it off in the pipeline.
 
 ## Training details