Update README.md

README.md

@@ -1,3 +1,65 @@
----
-license: apache-2.0
----
+---
+license: openrail++
+library_name: diffusers
+tags:
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- template:sd-lora
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: a photo of TOK dog
+widget:
+- text: Draw a picture of two female boxers fighting each other.
+  output:
+    url: images/example_9xsyd09gw.png
+datasets:
+- ZB-Tech/DreamXL
+language:
+- en
+
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# SDXL LoRA Fine-tuning - ZB-Tech/Text-To-Image
+
+<Gallery />
+
+## Model description
+
+These are ZB-Tech/Text-to-Image LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
+
+##### How to use
+
+```python
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/ZB-Tech/Text-to-Image"
+headers = {"Authorization": "Bearer HF_API_KEY"}
+
+def query(payload):
+	response = requests.post(API_URL, headers=headers, json=payload)
+	return response.content
+image_bytes = query({
+	"inputs": "Astronaut riding a horse",
+})
+# You can access the image with PIL.Image for example
+import io
+from PIL import Image
+image = Image.open(io.BytesIO(image_bytes))
+```
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](suryasuri/Surya/tree/main) them in the Files & versions tab.