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 Settings
- Draw Things
- DiffusionBee
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Download README.md from openskyml/open-diffusion-v1: direct link, hf CLI and curl.
- Browser
- Download file 496 Bytes
-
https://huggingface.co/openskyml/open-diffusion-v1/resolve/1719fa10dea959576fffaf715f21e7eaef2fe4ed/README.md
- Command line
-
hf download hf://openskyml/open-diffusion-v1@1719fa10dea959576fffaf715f21e7eaef2fe4ed/README.md
-
curl -L -o README.md https://huggingface.co/openskyml/open-diffusion-v1/resolve/1719fa10dea959576fffaf715f21e7eaef2fe4ed/README.md
496 Bytes
metadata
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
osl Dreambooth model trained by ehristoforu with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept: