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
File size: 558 Bytes
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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
<Gallery />
## Trigger words
You should use `medabots` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/fatique/polybots/tree/main) them in the Files & versions tab.
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