Update README.md

README.md

@@ -1,3 +1,56 @@
----
-license: apache-2.0
----
+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- transformers
+- template:sd-lora
+- ai-toolkit
+
+widget:
+-   text: lisawiro, A graceful woman with long wavy black hair and piercing brown eyes,
+          dressed in a flowing white summer dress. She stands barefoot on a sandy beach at sunset,
+          her hair gently moving with the sea breeze. The golden light illuminates her serene expression, 
+          with calm waves and a vibrant orange sky in the background. Ultra-HD, realistic,
+          capturing fine details of her dress, hair, and the tranquil seaside setting.
+    output:
+        url: lisa1.png
+
+license: other
+instance_prompt: lisawiro
+base_model:
+- black-forest-labs/FLUX.1-dev
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+---
+
+## Model Details
+
+### Model Description
+
+This LoRA is trained for anyone who like Lisa from Blackpink.
+
+
+- **Developed by:** [Wiro AI - ML Team]
+- **Shared by:** [Wiro AI]
+
+
+# flux-lora-lisawiro
+<Gallery />
+
+## Trigger words
+
+You should use `lisawiro` to trigger the image generation.
+
+## Civitai model link: [civitai](https://civitai.com/models/1117365/lisa-from-blackpink)
+
+```py
+from diffusers import FluxPipeline
+import torch
+
+pipeline = FluxPipeline.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
+pipeline.load_lora_weights('Wiro-Support/Lisa-Flux-LoRA', weight_name='lisa_flux_lora.safetensors')
+image = pipeline('lisawiro, A graceful woman with long wavy black hair and piercing brown eyes, dressed in a flowing white summer dress. She stands barefoot on a sandy beach at sunset, her hair gently moving with the sea breeze. The golden light illuminates her serene expression, with calm waves and a vibrant orange sky in the background. Ultra-HD, realistic, capturing fine details of her dress, hair, and the tranquil seaside setting.').images[0]
+image.save("output.png")
+```