Instructions to use ArthurTravers/CivitAI-loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ArthurTravers/CivitAI-loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ArthurTravers/CivitAI-loras") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
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# CivitAI LoRAs Collection
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This repository contains high-quality LoRAs from CivitAI
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## Models Included
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- **DR34ML4Y_I2V_14B_LOW.safetensors** - Image-to-Video LoRA for Wan 2.2
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- **T2V_14b_LowNoise_v2.safetensors** - Text-to-Video LoRA for Wan 2.2
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## Usage
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Compatible with ComfyUI and Wan 2.2 checkpoints for video generation workflows.
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## License
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# CivitAI LoRAs Collection
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This repository contains high-quality LoRAs from CivitAI.
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## License
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