Instructions to use BlackLynk/Experiment_221_Sparky with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BlackLynk/Experiment_221_Sparky with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("calcuis/illustrious", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("BlackLynk/Experiment_221_Sparky") prompt = "masterpiece, best quality, perfect quality, absurdres, newest, very aesthetic, very awa, detailed face," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SPARKY

- Prompt
- masterpiece, best quality, perfect quality, absurdres, newest, very aesthetic, very awa, detailed face,
- Negative Prompt
- deformed, mutation, multi limb, amputee, signature, deformed, blurry, disfigured, mutated, extra limb, ugly, out of focus, focal blur, logo, text, watermark, Smooth_Negative-neg, SmoothNegative_Hands-neg, censored, username, signature, patreon logo, bad anatomy, distorted, extra limbs, deformed hands, deformed face, deformed eyes, low quality, medium quality, (deformed tail, two tails, extra tail), ENDXL_Neg_V2-neg, IllusN3g, unaestheticXL_cbp62 -neg
Trigger words
You should use 3xp3r1m3nt221sp4rky_il to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for BlackLynk/Experiment_221_Sparky
Base model
KBlueLeaf/kohaku-xl-beta5 Quantized
calcuis/illustrious