Text-to-Image
Diffusers
stable-diffusion-xl
lossless
deterministic
signal-reconstruction
memory-efficient
frugal-ai
Instructions to use muquanta-axel-v17/SDXL-MARIUS-V18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use muquanta-axel-v17/SDXL-MARIUS-V18 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("muquanta-axel-v17/SDXL-MARIUS-V18", 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 inference.py
Browse files- inference.py +2 -2
inference.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from
|
| 3 |
|
| 4 |
def main():
|
| 5 |
print("=========================================")
|
| 6 |
-
print(" 🌌 MARIUS
|
| 7 |
print("=========================================")
|
| 8 |
|
| 9 |
# 1. Load the Engine
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from solvay_v18_loader import get_pipe
|
| 3 |
|
| 4 |
def main():
|
| 5 |
print("=========================================")
|
| 6 |
+
print(" 🌌 MARIUS V18 | SOLVAY INTERFACE ")
|
| 7 |
print("=========================================")
|
| 8 |
|
| 9 |
# 1. Load the Engine
|