Instructions to use creatorchain/Pups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creatorchain/Pups 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("creatorchain/Pups") 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/WZDxb98-0Qh8kR813NUvR_3763da0e1b56443f98124ecb218a8a15.jpg
- text: '-'
output:
url: images/_ejOZx7nFY9qgl26Wa9ne_630edd1817a94e37bbe1a0b5e32a8afc.jpg
- text: '-'
output:
url: images/H1ncrGTJWqtcJMgZSCsC1_e63cf16f93634437ace21f3adafcb119.jpg
- text: '-'
output:
url: images/tSAWM1u7OK9ZaGUhr0Fic_2f4d232d8ee8496e8916bd21711adc1c.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: pups
license: apache-2.0
Pups

- Prompt
- -

- Prompt
- -

- Prompt
- -

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