Instructions to use bumblebee-testing/tiny-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bumblebee-testing/tiny-stable-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("bumblebee-testing/tiny-stable-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
Download text_encoder/pytorch_model.bin from bumblebee-testing/tiny-stable-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 301 kB
-
https://huggingface.co/bumblebee-testing/tiny-stable-diffusion/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://bumblebee-testing/tiny-stable-diffusion/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bumblebee-testing/tiny-stable-diffusion/resolve/main/text_encoder/pytorch_model.bin
301 kB
- Xet hash:
- 6683b2ab5f6c6086fff913cc5e307153a43fe1a779e5b37b066aebb8112c6b89
- Size of remote file:
- 301 kB
- SHA256:
- 7888b36bc0d7fe039dd01d4d2a1824c1d61cfd2b49396d57305a283623c78135
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