Instructions to use Nurburgring/BEYOND_REALITY_Z_IMAGE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nurburgring/BEYOND_REALITY_Z_IMAGE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nurburgring/BEYOND_REALITY_Z_IMAGE", 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 BEYOND REALITY SUPER Z IMAGE 2.0 淡妆浓抹总相宜 BF16.safetensors
Browse files
BEYOND REALITY SUPER Z IMAGE 2.0 淡妆浓抹总相宜 BF16.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c6aa1c4cbb69ed22c322d66be0a7b09d751019af730e502e93888b7a8b7eb5c5
|
| 3 |
+
size 12309881240
|