Instructions to use rootlocalghost/Z-Image-Turbo-FP16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rootlocalghost/Z-Image-Turbo-FP16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rootlocalghost/Z-Image-Turbo-FP16", 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 FP16 quantized transformer/diffusion_pytorch_model-00002-of-00003.safetensors
Browse files
transformer/diffusion_pytorch_model-00002-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:05d691d0682439b3cfd492d8d38d69c16aec57b0644ce686f6f8a9ae5f9dd349
|
| 3 |
+
size 4986868536
|