Text-to-Image
Diffusers
FlaxStableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
jax-diffusers-event
Instructions to use bguisard/stable-diffusion-nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bguisard/stable-diffusion-nano 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", 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
Download text_encoder/flax_model.msgpack from bguisard/stable-diffusion-nano: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/bguisard/stable-diffusion-nano/resolve/main/text_encoder/flax_model.msgpack
- Command line
-
hf download hf://bguisard/stable-diffusion-nano/text_encoder/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/bguisard/stable-diffusion-nano/resolve/main/text_encoder/flax_model.msgpack
492 MB
- Xet hash:
- eff06d33f8c9ad1de8e70c76440842a48e67d260c16a518e97b461ab4e785426
- Size of remote file:
- 492 MB
- SHA256:
- 41eba2abe3a73b328cd047c899066febb92a8e12b1e6cfe0cb4d5d5ac6b5c978
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