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]
Can I use NF4 checkpoint loader instead of unet loader and use this?
Now it happens ValueError: Blockwise quantization only supports 16/32-bit floats, but got torch.uint8
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