Update README.md

README.md

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----
-license: mit
----
+---
+base_model: Tongyi-MAI/Z-Image-Turbo
+tags:
+  - lora
+  - text-to-image
+  - diffusion
+  - z-image-turbo
+license: other
+---
+
+# windy_storm — LoRA
+
+LoRA adapter trained for the concept/style **"windy_storm"**.
+
+## Trigger word
+Use this token in your prompt:
+- **`windy_storm`**
+
+## Base model
+- **Tongyi-MAI/Z-Image-Turbo**
+
+## Files
+- `*.safetensors` — LoRA weights
+- `config.yaml` — training configuration
+- (optional) `log.txt` — training log
+
+## How to use
+
+### A) ComfyUI / AUTOMATIC1111
+1. Put the `.safetensors` file into your LoRA folder.
+2. Prompt example:
+   - `windy_storm, portrait photo, natural light, high detail`
+
+(Adjust LoRA strength to taste, e.g. 0.6–1.0.)
+
+### B) Diffusers (generic example)
+```python
+import torch
+from diffusers import DiffusionPipeline
+
+pipe = DiffusionPipeline.from_pretrained(
+    "Tongyi-MAI/Z-Image-Turbo",
+    torch_dtype=torch.bfloat16
+).to("cuda")
+
+# Replace with your actual repo + filename on the Hub:
+pipe.load_lora_weights("<YOUR_REPO_ID>", weight_name="<YOUR_LORA_FILENAME>.safetensors")
+
+prompt = "windy_storm, portrait photo, natural light, high detail"
+image = pipe(prompt).images[0]
+image.save("out.png")