Text-to-Image
Diffusers
PyTorch
English
Text-to-Image
IP-Adapter
StableDiffusion3Pipeline
image-generation
Stable Diffusion
Instructions to use Runware/SD3.5-ip_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/SD3.5-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("Runware/SD3.5-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
| from diffusers import StableDiffusion3Pipeline | |
| pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", torch_dtype="auto") | |
| pipe.load_ip_adapter("/root/SD3.5-Large-IP-Adapter/ip_adapter.safetensors", image_encoder_folder="google/siglip-so400m-patch14-384") | |