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
- Xet hash:
- 00e2480e899f75da26ad0c221ef8229127c07ad60c240f81d3abf29cf69de9cb
- Size of remote file:
- 3.44 GB
- SHA256:
- 03cd6eec01fab3fcd16cd5866caba66bb2dd32d0827263f6d2e8ec15019e3567
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