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
UPDATE!
There is a new model based on stable-dffusion 2.0 (base) that can be found here!
Robo-Diffusion
A dreambooth-method finetune of stable diffusion that will output cool looking robots when prompted.
Repo
Github: https://github.com/nousr/robo-diffusion
Usage
Keep the words nousr robot towards the beginning of your prompt to invoke the finetuned style.
Socials
Use the #robodiffusion so i can see the cool stuff you make!
If you enjoy the model i'd appreciate a follow on twitter
If you are feeling especially generous, you can sponsor me on github
NOTE: usage of this model implies accpetance of stable diffusion's CreativeML Open RAIL-M license
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