Instructions to use takutan/rnrn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use takutan/rnrn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("takutan/rnrn", torch_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
- Xet hash:
- ee8f3d7b0af7422cc5ef634e4a74b2d57b78c3d0191720ac79b7444fd07a2783
- Size of remote file:
- 2.13 GB
- SHA256:
- 257924495842d38f58da479b6b3a2332f83aecfd737f38c9709dd751facf135f
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