Create README.md

README.md

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+---
+language: en
+pipeline_tag: text-to-image
+tags:
+  - stable-diffusion
+  - stable-diffusion-xl
+  - text-to-image
+  - diffusers
+  - lora
+---
+
+# SimpleTuner-stable-diffusion-3.5-large-ZukyTheDog
+
+This is a custom-trained LoRA model for Stable Diffusion 3.5, focused on generating images of ZukyTheDog.
+
+## Model Description
+
+This model is a LoRA fine-tune of Stable Diffusion 3.5, trained to generate high-quality images of ZukyTheDog. It can be used to create detailed and accurate representations in various styles and settings.
+
+## Base Model
+
+- Base Model: Stable Diffusion 3.5
+
+## How to Use
+
+You can use this model in two ways:
+
+### 1. Using Hugging Face Inference API
+Simply input your prompt in the inference API tab above and click "Compute".
+
+Example prompts:
+- "A photo of ZukyTheDog sitting in a garden"
+- "ZukyTheDog playing with a ball, high quality, detailed"
+- "Portrait of ZukyTheDog in a natural setting"
+
+### 2. Using Python Code
+
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+
+pipeline = StableDiffusionPipeline.from_pretrained(
+    "CarlosRiverMe/SimpleTuner-stable-diffusion-3.5-large-ZukyTheDog",
+    torch_dtype=torch.float16
+)
+pipeline.to("cuda")
+
+prompt = "A photo of ZukyTheDog sitting in a garden"
+image = pipeline(prompt).images[0]
+image.save("generated_image.png")