Instructions to use Akbartus/Lora-360-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akbartus/Lora-360-model 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("Akbartus/Lora-360-model") prompt = "360 view" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Create README.md
Browse files
README.md
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---
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: 360, 360 view
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widget:
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- text: 360 view
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---
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