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
Error when I use all models except Vit-G on amd card
#18
by banandai - opened
Stable Diffusion checkpoint: v1-5-pruned-emaonly
video card on 4 Gb
File "C:\Users\TRON\Documents\sd\webui\stable-diffusion-webui-directml\modules\dml\amp\autocast_mode.py", line 17, in forward
return op(*args, **kwargs)
RuntimeError: "addmm_impl_cpu_" not implemented for 'Half'