Instructions to use piiiiisan/jkllxkll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use piiiiisan/jkllxkll with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fofr/sdxl-emoji", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("piiiiisan/jkllxkll") prompt = "1girl, solo,(best quality),(masterpiece:1.1), dynamic angle, upper body, looking_at_viewer, small breast, cute, clear facial skin," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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- Prompt
- 1girl, solo,(best quality),(masterpiece:1.1), dynamic angle, upper body, looking_at_viewer, small breast, cute, clear facial skin,
- Negative Prompt
- EasyNegative, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,extra fingers,fewer fingers,, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, (only body)
Model description
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Trigger words
You should use seeds to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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