Text-to-Image
Diffusers
Safetensors
ONNX
English
French
Russian
StableDiffusionPipeline
open-diffusion
od-v1
openskyml
Instructions to use openskyml/open-diffusion-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/open-diffusion-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openskyml/open-diffusion-v1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
license: creativeml-openrail-m
tags:
- safetensors
- onnx
- text-to-image
- open-diffusion
- od-v1
- openskyml
language:
- en
- fr
- ru
pipeline_tag: text-to-image
Open Diffusion V1
Generate cool images with OpenDiffusion V1 (OD-v1)
Model Details
Model Description
- Developed by: OpenSkyML
- Model type: Multimodal (Text-to-Image)
- License: CreativeML-Openrail-m
Model Sources
- Repository: click
- Demo:
Uses
In Free Inference API:
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:
import gradio as gr
gr.load("models/openskyml/open-diffusion-v1").launch()