Instructions to use OzzyGT/sdxl-ip-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/sdxl-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("OzzyGT/sdxl-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 Settings
- Draw Things
- DiffusionBee
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Download README.md from OzzyGT/sdxl-ip-adapter: direct link, hf CLI and curl.
- Browser
- Download file 5.72 kB
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https://huggingface.co/OzzyGT/sdxl-ip-adapter/resolve/main/README.md
- Command line
-
hf download hf://OzzyGT/sdxl-ip-adapter/README.md
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curl -L -o README.md https://huggingface.co/OzzyGT/sdxl-ip-adapter/resolve/main/README.md
5.72 kB
metadata
tags:
- text-to-image
- stable-diffusion
license: apache-2.0
library_name: diffusers
IP-Adapter for SDXL
This is just a clone from the original repository with just the SDXL vit-h models and the corresponding image encoder.
Update: Added IP Adapter for Composition to be able to use multi ip adapters (they need to be in the same repository). Original model: https://huggingface.co/ostris/ip-composition-adapter
Made to be used with Image Artisan XL.
Here's some experiments:
prompt: cinematic portrait photo of a woman, against a white background, 4k, highly detailed
ip-adapter_sdxl_vit-h
ip-adapter-plus_sdxl_vit-h
ip-adapter-plus-face_sdxl_vit-h
prompt: cinematic portrait photo of a woman, against a white background, half body shot, closeup, 4k, highly detailed
































