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
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,5 +1,12 @@
|
|
| 1 |
-
The trained models for [IP-Adapter](https://github.com/tencent-ailab/IP-Adapter).
|
| 2 |
-
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
| 4 |
license: apache-2.0
|
|
|
|
|
|
|
| 5 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
tags:
|
| 3 |
+
- text-to-image
|
| 4 |
+
- stable-diffusion
|
| 5 |
license: apache-2.0
|
| 6 |
+
language:
|
| 7 |
+
- en
|
| 8 |
---
|
| 9 |
+
|
| 10 |
+
# IP-Adapter Model Card
|
| 11 |
+
|
| 12 |
+
The trained models for [IP-Adapter](https://github.com/tencent-ailab/IP-Adapter).
|