Instructions to use InstantX/InstantID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/InstantID with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/InstantID", 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
- Draw Things
- DiffusionBee
pixelated glitchart of close-up of (subject}, ps1 playstation psx gamecube game radioactive dreams screencapture, bryce 3d|
#38
by deleted - opened
.gitattributes
CHANGED
|
@@ -36,3 +36,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 36 |
examples/0.png filter=lfs diff=lfs merge=lfs -text
|
| 37 |
examples/1.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
examples/applications.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 36 |
examples/0.png filter=lfs diff=lfs merge=lfs -text
|
| 37 |
examples/1.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
examples/applications.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
E72F7E3E-1B46-47BE-ABC9-2469EA31C930.jpeg filter=lfs diff=lfs merge=lfs -text
|
E72F7E3E-1B46-47BE-ABC9-2469EA31C930.jpeg
ADDED
|
Git LFS Details
|