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
link to robo-v2-base model
Browse files
README.md
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license: "creativeml-openrail-m"
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# Robo-Diffusion
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A dreambooth-method finetune of stable diffusion that will output cool looking robots when prompted.
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license: "creativeml-openrail-m"
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# UPDATE!
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There is a new model based on stable-dffusion 2.0 (base) that can be found [here](https://huggingface.co/nousr/robo-diffusion-2-base)!
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# Robo-Diffusion
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A dreambooth-method finetune of stable diffusion that will output cool looking robots when prompted.
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