Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
jax-diffusers-event
Instructions to use bguisard/stable-diffusion-nano-2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bguisard/stable-diffusion-nano-2-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bguisard/stable-diffusion-nano-2-1", 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:
- 894ff2d274245f082b382ae4c54fcd3e420f0cf48eec92bd25f8dcfb06d02dd7
- Size of remote file:
- 3.46 GB
- SHA256:
- 65b425b483ab603699a9d9948759ed18a200d207852ffd2f26f640d0c22507c5
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