Update README.md

README.md

@@ -3,6 +3,7 @@ license: creativeml-openrail-m
 tags:
 - text-to-image
 - open-diffusion
+- od-v1
 - openskyml
 language:
 - en
@@ -11,5 +12,47 @@ language:
 pipeline_tag: text-to-image
 ---
 
-# Open Diffusion
+# Open Diffusion V1
 
+Generate cool images with OpenDiffusion V1 (OD-v1)
+
+## Model Details
+
+### Model Description
+
+- **Developed by:** [OpenSkyML](https://huggingface.co/openskyml)
+- **Model type:** [Multimodal (Text-to-Image)](https://huggingface.co/models?pipeline_tag=text-to-image)
+- **License:** [CreativeML-Openrail-m](https://huggingface.co/models?license=license%3Acreativeml-openrail-m)
+
+### Model Sources
+
+- **Repository:** [click](https://huggingface.co/openskyml/open-diffusion-v1/tree/main)
+- **Demo [optional]:** In developed ...
+
+
+## Uses
+
+### In Free Inference API:
+```py
+import requests
+HF_READ_TOKEN = "..."
+API_URL = "https://api-inference.huggingface.co/models/openskyml/open-diffusion-v1"
+headers = {"Authorization": f"Bearer {HF_READ_TOKEN}"}
+
+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))
+```
+### In Spaces:
+```py
+import gradio as gr
+
+gr.load("models/openskyml/open-diffusion-v1").launch()
+```