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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Adding `safetensors` variant of this model
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Delete vae/diffusion_pytorch_model.safetensors
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Adding `safetensors` variant of this model (#3)
- Adding `safetensors` variant of this model (3d83e740d91c9c4946d5318c33a4d7ed99009b8f) Co-authored-by: yehia serag <yehiaserag@users.noreply.huggingface.co>8eb7dce
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Upload . with huggingface_hub (#1)
- Upload . with huggingface_hub (c936d34efa817239872ed51e14dfdc236a916a94)c0bd81b