Instructions to use InsecureErasure/Z-Image-Turbo-MXFP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InsecureErasure/Z-Image-Turbo-MXFP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InsecureErasure/Z-Image-Turbo-MXFP8", 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
Upload ZiT-MXFP8-02.png
Browse files**Prompt**:
```
A rain-soaked Tokyo alley at night, neon signs in Japanese reflecting off puddles, steam rising from manholes, stray cat peering around a corner, photorealism with bokeh effects
```
**Resolution:** 1024x1536
**Shift:** 3.0
**Sampler/Scheduler:** Euler/Simple
**Steps:** 9
**Seed:** 261534408302602
- .gitattributes +1 -0
- ZiT-MXFP8-02.png +3 -0
.gitattributes
CHANGED
|
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
ZiT-MXFP8-01.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
ZiT-MXFP8-01.png filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
ZiT-MXFP8-02.png filter=lfs diff=lfs merge=lfs -text
|
ZiT-MXFP8-02.png
ADDED
|
Git LFS Details
|