Instructions to use fatique/polybots with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fatique/polybots 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("fatique/polybots") prompt = "medabots, gengar pokemon, black and purple, cannon armor, white background" 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: medabots, gengar pokemon, black and purple, cannon armor, white background
output:
url: images/undefined_image.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: medabots
license: apache-2.0
Polybots

- Prompt
- medabots, gengar pokemon, black and purple, cannon armor, white background
Trigger words
You should use medabots to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.