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
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#11 opened about 2 years ago
by
Dalilozz
Upload 20240217_160700.jpeg
#10 opened about 2 years ago
by
AshMcMan
Support for stable cascade?
#8 opened about 2 years ago
by
waveydaveygravy
Our 1 Click Windows, RunPod (Linux) and Free Kaggle Notebook Instant ID very Advanced Gradio APP Just Got Updated
#7 opened about 2 years ago
by
MonsterMMORPG
InstantID CPU
👍 1
#6 opened over 2 years ago
by
rupeshs
Update README.md
#4 opened over 2 years ago
by
00173R
ControlNet model optimizations
👍 4
#3 opened over 2 years ago
by
Erilaz
Unfortunately, this is non commercial usage only and cannot be Apache 2.0 if it is using Insight Face
👍 2
10
#2 opened over 2 years ago
by
ostris
great works!i wonder what model based on the “face encoder”
1
#1 opened over 2 years ago
by
lqfool