Instructions to use agmjd/anon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use agmjd/anon 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("agmjd/anon") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
anon

- Prompt
- -

- Prompt
- masterpiece,best quality,<lora:ãåç¥ãèç¹èè - Citlali_noob:0.8>,Citlali \(Genshin Impact\),Citlali,Citlali def clothes,Sarongs,1girl,gloves,jewelry,fingerless gloves,bracelet,multicolored hair,hair ornament,
- Negative Prompt
- EasyNegative,bad-hands-5,(((worst quality, low quality))),
Download model
Download them in the Files & versions tab.
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Model tree for agmjd/anon
Base model
KBlueLeaf/kohaku-xl-beta5 Quantized
calcuis/illustrious