Instructions to use jagvill4/Melting_concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jagvill4/Melting_concept with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/AnyLoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jagvill4/Melting_concept") prompt = "<lora:melting:1>,(melting:1.2),(dripping,sweat,wet:1.3),1girl, arms behind back, bike shorts, blue hair, brown footwear, full body, loafers, long hair, looking at viewer, necktie, pleated skirt, ponytail, purple eyes, school uniform, shoes, shorts, skirt, smile, solo, standing, black background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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