Instructions to use nitrosocke/Nitro-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/Nitro-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("nitrosocke/Nitro-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 Settings
- Draw Things
- DiffusionBee
Commit History
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Adding `safetensors` variant of this model (#16)
- Adding `safetensors` variant of this model (cc2a4ef4fa23db1965d6770ce0cb862dd5319f78)70e3387
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Adding `safetensors` variant of this model (#15)
- Adding `safetensors` variant of this model (09a02da71f0eb8e2027e7a98bb25759577c61de9) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>184c194
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Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#10)
- Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (6384847645fe08d08a5b8b69161afdfb55a79355) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>fe450ed
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Add a diffusers checkpoint (#4)
- Add a diffusers checkpoint (0ea24749bb659700f97e8a99639ba5dab3a74c61) Co-authored-by: Anton Lozhkov <anton-l@users.noreply.huggingface.co>516c17f