Instructions to use InstantX/InstantIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/InstantIR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/InstantIR", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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README.md
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from diffusers import DDPMScheduler
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from schedulers.lcm_single_step_scheduler import LCMSingleStepScheduler
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from transformers import AutoImageProcessor, AutoModel
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from module.ip_adapter.utils import load_adapter_to_pipe
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from pipelines.sdxl_instantir import InstantIRPipeline
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from diffusers import DDPMScheduler
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from schedulers.lcm_single_step_scheduler import LCMSingleStepScheduler
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from module.ip_adapter.utils import load_adapter_to_pipe
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from pipelines.sdxl_instantir import InstantIRPipeline
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