Text-to-Image
Diffusers
English
Text-to-Image
IP-Adapter
StableDiffusion3Pipeline
image-generation
Stable Diffusion
Instructions to use InstantX/SD3.5-Large-IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/SD3.5-Large-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/SD3.5-Large-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
Changed diffusers checkpoint names to have "diffusers" suffix
Browse files- ip-adapter.bin +2 -2
- ip-adapter_diffusers.bin +3 -0
- ip-adapter_diffusers.safetensors +3 -0
ip-adapter.bin
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ip-adapter_diffusers.bin
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ip-adapter_diffusers.safetensors
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