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
Update README.md
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README.md
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import torch
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from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
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scheduler = EulerDiscreteScheduler.from_pretrained(nousr/robo-diffusion-2-base, subfolder="scheduler")
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pipe = StableDiffusionPipeline.from_pretrained("nousr/robo-diffusion-2-base", scheduler=scheduler, torch_dtype=torch.float16, revision="fp16")
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pipe = pipe.to("cuda")
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import torch
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from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
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scheduler = EulerDiscreteScheduler.from_pretrained("nousr/robo-diffusion-2-base", subfolder="scheduler")
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pipe = StableDiffusionPipeline.from_pretrained("nousr/robo-diffusion-2-base", scheduler=scheduler, torch_dtype=torch.float16, revision="fp16")
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pipe = pipe.to("cuda")
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