Text-to-Image
Diffusers
English
Text-to-Image
IP-Adapter
Flux.1-dev
image-generation
Stable Diffusion
Instructions to use InstantX/FLUX.1-dev-IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/FLUX.1-dev-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("InstantX/FLUX.1-dev-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

- Xet hash:
- f7cf7762cf074fd3d6d7055cd53f543fd4f50910130e0f81305354e695b23445
- Size of remote file:
- 2.76 MB
- SHA256:
- d0e4068656b295a1139541e4cfa12ba3af0b2ac04e6a580759db8614994282f9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.