Instructions to use KarthikAI/InstantID-i2i with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KarthikAI/InstantID-i2i 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("KarthikAI/InstantID-i2i", 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
Update handler.py
Browse files- handler.py +1 -1
handler.py
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@@ -58,7 +58,7 @@ class EndpointHandler:
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# 3. Run the img2img pipeline
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result = pipe(
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prompt=prompt,
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-
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strength=strength,
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guidance_scale=guidance_scale,
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num_inference_steps=num_steps,
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# 3. Run the img2img pipeline
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result = pipe(
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prompt=prompt,
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image=init_img,
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strength=strength,
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guidance_scale=guidance_scale,
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num_inference_steps=num_steps,
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