Instructions to use vcollos/xp2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vcollos/xp2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("vcollos/xp2") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/Logo Collos_Símbolo Collos Negativo.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: penis, Penis
license: mit
XP2

- Prompt
- -
Trigger words
You should use penis to trigger the image generation.
You should use Penis to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.