Instructions to use personal1802/20_per with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/20_per with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("personal1802/20_per") prompt = "1milf, simple background," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
a.5+cg5.fp16x0.3+kakarot28D_v17x0.7.fp16.safetensors

- Prompt
- 1milf, simple background,
- Negative Prompt
- (worst quality,low quality:1.4), easynegative, bad-hands-5, choker, bag, handbag, plastic bag, mole, dot, nsfw,
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for personal1802/20_per
Base model
runwayml/stable-diffusion-v1-5