Instructions to use retronic/Pixelship-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use retronic/Pixelship-2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("retronic/Pixelship-2.0") 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,6 +4,8 @@ base_model:
|
|
| 4 |
- Qwen/Qwen-Image-2.1
|
| 5 |
---
|
| 6 |
|
|
|
|
|
|
|
| 7 |
# Introducing Pixelship 🚀
|
| 8 |
We present to you a diffusion transformer called Pixelship.
|
| 9 |
## Model Details
|
|
|
|
| 4 |
- Qwen/Qwen-Image-2.1
|
| 5 |
---
|
| 6 |
|
| 7 |
+
|
| 8 |
+
!(5.png)
|
| 9 |
# Introducing Pixelship 🚀
|
| 10 |
We present to you a diffusion transformer called Pixelship.
|
| 11 |
## Model Details
|