Instructions to use michaelz/ArcaneFace-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use michaelz/ArcaneFace-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("michaelz/ArcaneFace-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
Update README.md
Browse files







|
@@ -1,11 +1,10 @@
|
|
| 1 |
-
|
| 2 |
-
license: openrail
|
| 3 |
---
|
| 4 |
license: creativeml-openrail-m
|
| 5 |
tags:
|
| 6 |
- stable-diffusion
|
| 7 |
- text-to-image
|
| 8 |
-
|
| 9 |
code example:
|
| 10 |
|
| 11 |
from diffusers import StableDiffusionPipeline
|
|
@@ -22,5 +21,8 @@ prompt = "arcaneface, a beautiful girl"
|
|
| 22 |
image = pipe(prompt).images[0]
|
| 23 |
|
| 24 |
image.save("example.png")
|
|
|
|
|
|
|
| 25 |
|
|
|
|
| 26 |
|
|
|
|
| 1 |
+
|
|
|
|
| 2 |
---
|
| 3 |
license: creativeml-openrail-m
|
| 4 |
tags:
|
| 5 |
- stable-diffusion
|
| 6 |
- text-to-image
|
| 7 |
+
---
|
| 8 |
code example:
|
| 9 |
|
| 10 |
from diffusers import StableDiffusionPipeline
|
|
|
|
| 21 |
image = pipe(prompt).images[0]
|
| 22 |
|
| 23 |
image.save("example.png")
|
| 24 |
+
---
|
| 25 |
+
|
| 26 |
|
| 27 |
+
picture example:
|
| 28 |
|