Instructions to use nousr/robo-diffusion-2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nousr/robo-diffusion-2-base 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-2-base", 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
- Xet hash:
- bdee3bcca6e614a9acea2e306d5ad9be59c8a70425fbfff0a39467e2e4957dc9
- Size of remote file:
- 1.36 GB
- SHA256:
- c5db354f54bb3a7efdae4ea146b4891edb1968a13701fa810e44609d59d61ded
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