Instructions to use sivar/legostyle1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sivar/legostyle1-5 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("sivar/legostyle1-5", 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 deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`.
#2
by patrickvonplaten - opened
- model_index.json +1 -1
model_index.json
CHANGED
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@@ -3,7 +3,7 @@
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"_diffusers_version": "0.6.0",
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"feature_extractor": [
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"transformers",
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-
"
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],
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"safety_checker": [
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"stable_diffusion",
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"_diffusers_version": "0.6.0",
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"feature_extractor": [
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"transformers",
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+
"CLIPImageProcessor"
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],
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"safety_checker": [
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"stable_diffusion",
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