openskyml/open-diffusion-v3

1---2license: creativeml-openrail-m3tags:4- text-to-image5- open-diffusion6- od-v37- openskyml8language:9- en10- fr11- ru12pipeline_tag: text-to-image13pinned: true14---15 16# Open Diffusion V317 18Generate cool images with OpenDiffusion V3 (OD-v3)19 20## Model Details21 22### Model Description23 24- **Developed by:** [OpenSkyML](https://huggingface.co/openskyml)25- **Model type:** [Multimodal (Text-to-Image)](https://huggingface.co/models?pipeline_tag=text-to-image)26- **License:** [CreativeML-Openrail-m](https://huggingface.co/models?license=license%3Acreativeml-openrail-m)27 28### Model Sources29 30- **Repository:** [click](https://huggingface.co/openskyml/open-diffusion-v3/tree/main)31- **Demo [optional]:** In developed ...32 33 34## Uses35 36### In Free Inference API:37```py38import requests39HF_READ_TOKEN = "..."40API_URL = "https://api-inference.huggingface.co/models/openskyml/open-diffusion-v3"41headers = {"Authorization": f"Bearer {HF_READ_TOKEN}"}42 43def query(payload):44	response = requests.post(API_URL, headers=headers, json=payload)45	return response.content46image_bytes = query({47	"inputs": "Astronaut riding a horse",48})49# You can access the image with PIL.Image for example50import io51from PIL import Image52image = Image.open(io.BytesIO(image_bytes))53```54### In Spaces:55```py56import gradio as gr57 58gr.load("models/openskyml/open-diffusion-v3").launch()59```60