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
Update checkpoints according to diffusers integration
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by guiyrt - opened
ip-adapter_diffusers.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a12562389f6b4ed56e58077c21aff7c8298401d4de376204bfe04c5d8e2f6aa2
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ip-adapter_diffusers.safetensors
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oid sha256:7605332eeba0194f62bbe46deb62e5f1ee71a522cd38bba543d907a677d94949
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size 1595885744
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