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
+---
+
+# sofia-russo — LoRA (Z-Image-Turbo)
+
+LoRA adapter trained for the concept/style **"sofia-russo"**.
+
+## Trigger word
+Use this token in your prompt:
+- **`sofia-russo`**
+
+> Note: Some workflows/tokenizers may also respond to `sofia russo` (with a space). If the trigger doesn’t “bite”, try both variants.
+
+## Base model
+- **Tongyi-MAI/Z-Image-Turbo**
+
+## Files
+- `*.safetensors` — LoRA weights
+- `config.yaml`, `job_config.json` — 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:
+   - `sofia-russo, outdoor golden hour portrait, natural warm sunlight, 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 filename:
+pipe.load_lora_weights("thorjank/<REPO_NAME>", weight_name="<YOUR_LORA_FILENAME>.safetensors")
+
+prompt = "sofia-russo, outdoor golden hour portrait, natural warm sunlight, high detail"
+image = pipe(prompt).images[0]
+image.save("out.png")