Instructions to use openai/shap-e-img2img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openai/shap-e-img2img 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("openai/shap-e-img2img", 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
Fix scheduler JSON config
#1
by sayakpaul HF Staff - opened
scheduler/scheduler_config.json
CHANGED
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@@ -7,5 +7,5 @@
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"clip_sample": true,
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"clip_sample_range": 1.0,
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"prediction_type": "sample",
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-
"use_karras_sigmas": true
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}
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"clip_sample": true,
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"clip_sample_range": 1.0,
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"prediction_type": "sample",
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+
"use_karras_sigmas": true
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}
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