Instructions to use personal1802/26per with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/26per 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("personal1802/26per") prompt = "1milf, simple background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 685 Bytes
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tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: 1milf, simple background
parameters:
negative_prompt: >-
(worst quality,low quality:1.4), easynegative, bad-hands-5, choker, bag,
handbag, plastic bag, mole, dot, nsfw,
output:
url: images/00204-20231123_020820_950303.png
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: null
---
# 5a+5cg.fp16x0.5+kakarot28DCozy_cozyx0.5.fp16x0.3+kakarot28D_v17x0.7.fp16.safetensors
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/personal1802/26per/tree/main) them in the Files & versions tab.
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