Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use nota-ai/bk-sdm-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nota-ai/bk-sdm-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("nota-ai/bk-sdm-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
Commit History
-
add updated arxiv paper
0c03b7a
-
Update README.md
d251d92
-
Update README.md
a96d919 -
Update README.md
2c7456b
-
add unet fp16 variant
3fe0a7f
-
Update README.md
e3d045f
-
Update README.md
0bb7744
-
Update README.md
d191742 -
Update README.md
04b4ced
-
add model weights
f2b2487
-
initial commit
84ff585