Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use nota-ai/bk-sdm-v2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nota-ai/bk-sdm-v2-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-v2-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
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,7 +5,7 @@ tags:
|
|
| 5 |
- stable-diffusion-diffusers
|
| 6 |
- text-to-image
|
| 7 |
datasets:
|
| 8 |
-
- ChristophSchuhmann/improved_aesthetics_6.
|
| 9 |
library_name: diffusers
|
| 10 |
pipeline_tag: text-to-image
|
| 11 |
extra_gated_prompt: >-
|
|
|
|
| 5 |
- stable-diffusion-diffusers
|
| 6 |
- text-to-image
|
| 7 |
datasets:
|
| 8 |
+
- ChristophSchuhmann/improved_aesthetics_6.5plus
|
| 9 |
library_name: diffusers
|
| 10 |
pipeline_tag: text-to-image
|
| 11 |
extra_gated_prompt: >-
|