Instructions to use personal1802/27per with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/27per 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("personal1802/27per") prompt = "1milf, simple background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("personal1802/27per")
prompt = "1milf, simple background"
image = pipe(prompt).images[0]3.fp16x0.15+000B-001x0.85.fp16.safetensors

- Prompt
- 1milf, simple background
- Negative Prompt
- (worst quality,low quality:1.4), EasyNegativeV2, bad-hands-5, NegfeetV2, choker, bag, handbag, plastic bag, mole, dot
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 personal1802/27per
Base model
runwayml/stable-diffusion-v1-5