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
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by neil-code - opened
- README.md +6 -0
- images/example_wzqkwpye5.png +0 -0
README.md
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---
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eyes
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output:
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url: images/example_d400b5p9z.png
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- text: >-
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parody, teeth, standing, tears, sad, no humans, full body, crying, clenched
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teeth, simple background, black background, red hair, flat color, solo, blue
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eyes
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output:
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url: images/example_wzqkwpye5.png
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---
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images/example_wzqkwpye5.png
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