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 Settings
- Draw Things
- DiffusionBee
Commit History
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Add `scale_factor` to vae config. (#14)
- Add `scale_factor` to vae config. (9752e7c1af1d15d9b37b37b6e91c6d34041d902e) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>5ecf5c9
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Upload . with huggingface_hub (#1)
- Upload . with huggingface_hub (c936d34efa817239872ed51e14dfdc236a916a94)c0bd81b