Instructions to use nuigurumi/basil_mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nuigurumi/basil_mix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nuigurumi/basil_mix", 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
add gradio demo
#7
by akhaliq HF Staff - opened
README.md
CHANGED
|
@@ -7,6 +7,12 @@ license: openrail
|
|
| 7 |
- realistic texture and Asian face.
|
| 8 |
- designed to maintain a responsive reaction to danbooru based prompts.
|
| 9 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
## Recommendations
|
| 11 |
|
| 12 |
- VAE: "vae-ft-mse-840000" from StabilityAI
|
|
|
|
| 7 |
- realistic texture and Asian face.
|
| 8 |
- designed to maintain a responsive reaction to danbooru based prompts.
|
| 9 |
|
| 10 |
+
# Gradio
|
| 11 |
+
|
| 12 |
+
We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run basil_mix:
|
| 13 |
+
[](https://huggingface.co/spaces/akhaliq/basil_mix)
|
| 14 |
+
|
| 15 |
+
|
| 16 |
## Recommendations
|
| 17 |
|
| 18 |
- VAE: "vae-ft-mse-840000" from StabilityAI
|