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
metadata
license: mit
base_model:
- stabilityai/stable-diffusion-xl-base-1.0
pipeline_tag: text-to-image
tags:
- diffusers
- lora
widget:
- text: >-
parody, teeth, standing, tears, sad, no humans, full body, crying,
clenched teeth, simple background, black background, red hair, flat color,
solo, blue eyes
output:
url: images/example_wzqkwpye5.png
- text: >-
solo, white background, brown footwear, 1boy, male focus, style parody,
pants, belt, simple background, red hair, full body, headphones, teeth,
standing, holding
output:
url: images/example_mobl8v1w1.png
马建仓

- Prompt
- parody, teeth, standing, tears, sad, no humans, full body, crying, clenched teeth, simple background, black background, red hair, flat color, solo, blue eyes

- Prompt
- solo, white background, brown footwear, 1boy, male focus, style parody, pants, belt, simple background, red hair, full body, headphones, teeth, standing, holding