Instructions to use IBRAHIM1990/IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IBRAHIM1990/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("IBRAHIM1990/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
- Xet hash:
- 6996a4b6cf772badd47e33fb1155ed2fb6131c0fe653f2dda2d7f3b54a4b2345
- Size of remote file:
- 43.6 MB
- SHA256:
- 47ec4644114f3bfe25b2fc830af6b0dd8dcad9a0371a238b9cc919465c60d1dc
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