Instructions to use h94/IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use h94/IP-Adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("h94/IP-Adapter", 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
Img2img documentation examples not working
#32
by kasiasta91 - opened
Hi all! Is somebody able to provide gist notebook with bear example from Image2Image tab working (where the result is the peak)? What I got running exactly the same code is more furry bear instead of a peak.
Secondly I wanted to use image embeddings as pointed in another example but I got an error about NoneType...
Please help!
can you give a issue at diffusers repo?

