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
Adding `safetensors` variant of this model
#3
by yehiaserag - opened
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ee3b58ed2734e4391bc0f31762f98ca77132f5d83cc4b7334e7dbaa6c980168
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size 1361597018
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce9afd443faf672d1f3224414532727ba13d825e915b880527517a8d31ae8a82
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size 3463726498
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vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1d993488569e928462932c8c38a0760b874d166399b14414135bd9c42df5815
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size 334643276
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