Instructions to use Nora-7/Nora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nora-7/Nora 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("Nora-7/Nora", 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
Create README.md
Browse files
README.md
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---
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license: afl-3.0
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datasets:
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- glaiveai/reasoning-v1-20m
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language:
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- ru
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metrics:
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- bleu
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base_model:
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- deepseek-ai/DeepSeek-V3-0324
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new_version: manycore-research/SpatialLM-Llama-1B
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pipeline_tag: image-to-image
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library_name: diffusers
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tags:
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- music
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---
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