Instructions to use Neu256/arc-diffusion-1.3-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Neu256/arc-diffusion-1.3-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Neu256/arc-diffusion-1.3-dev", 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
metadata
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
Arc-diffusion-1.3-dev
This model is under development
if you want to help me with collecting the dataset, then write to me by mail arcdiffusion256@gmail.com
send pictures with a text title with the same title and preferably with a resolution of 1 to 1