Instructions to use dexadeca99/Testloramassivecows with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dexadeca99/Testloramassivecows 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("dexadeca99/Testloramassivecows") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files
SDXL_Lucanna_MassiveCows-LoRa_v4e.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:28f9cef9c8eed2a9f16bd76e6f70a0983ba526260d2b9726232683d37b2cd8c7
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size 228460379
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images/Tak berjudul6 (2).jpg
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Git LFS Details
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