Instructions to use biali/sdv15_loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use biali/sdv15_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("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("biali/sdv15_loras") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Upload full_lora_sdv15_maps .safetensors
Verified signatureLoRA trained using over 700 top-down view map images. trigger: ronmapd5dd8e3
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Upload sdv15_lora_gnd_textures.safetensors
Verified signatureTextures LoRA v.2 trained with over 2000 ground and cliff images.db2c7d3
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