Instructions to use Akbartus/Lora360 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akbartus/Lora360 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Akbartus/Lora360") prompt = "360 view" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload 360Diffusion_v1.safetensors
Browse files
360Diffusion_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b92dc96337b21aff22e7d7a516f4c8ad7b637d9c5d0715c1655fc61398e00c9
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size 151110750
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