Instructions to use neil-code/majiancang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neil-code/majiancang 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("neil-code/majiancang") prompt = "parody, teeth, standing, tears, sad, no humans, full body, crying, clenched teeth, simple background, black background, red hair, flat color, solo, blue eyes" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#3
by neil-code - opened
Generated example for model neil-code/majiancang.
Prompt: solo, white background, brown footwear, 1boy, male focus, style parody, pants, belt, simple background, red hair, full body, headphones, teeth, standing, holding
neil-code changed pull request status to merged