Instructions to use nousr/robo-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nousr/robo-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nousr/robo-diffusion", 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
diffusers
#1
by aarondotwork - opened
No description provided.
aarondotwork changed pull request status to open
This adds a converted model to allow robo diffusion to be used with diffusers-based SD systems. It retains the original model files in the models folder. For this repo to function, it has to be added to the fp16 branch of the original repo
nousr changed pull request status to merged