Instructions to use TencentARC/PhotoMaker-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/PhotoMaker-V2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TencentARC/PhotoMaker-V2", 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
Quantization into int8
#11
by SajjadIqbal - opened
How can we quantize this model to int8? Has anyone worked with this?
And in Fastapi it's taking 3 to 4 hundred mbs more than Gradio. Why is this so?