Update README.md

README.md

@@ -2,12 +2,57 @@
 license: creativeml-openrail-m
 tags:
 - text-to-image
-- stable-diffusion
+- open-diffusion
+- od-v2
+- openskyml
+language:
+- en
+- fr
+- ru
+pipeline_tag: text-to-image
 ---
-### Open-Diffusion-V2 Dreambooth model trained by ehristoforu with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
 
+# Open Diffusion V2
 
-Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
+Generate cool images with OpenDiffusion V2 (OD-v2)
 
-Sample pictures of this concept:
+## 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-v2"
+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-v2").launch()
+```