Instructions to use fatique/polybotstrainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fatique/polybotstrainer 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/polybotstrainer") prompt = "(best quality:1.2), trainer,1boy, :d, brown eyes, brown hair, clenched hands, full body, hood, hood down, hooded jacket, hooded sweater, hoodie, looking at viewer, male focus, open mouth, pants, red footwear, red hoodie, shoes, short hair, smile, solo, standing, teeth, white background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 865 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
(best quality:1.2), trainer,1boy, :d, brown eyes, brown hair, clenched
hands, full body, hood, hood down, hooded jacket, hooded sweater, hoodie,
looking at viewer, male focus, open mouth, pants, red footwear, red hoodie,
shoes, short hair, smile, solo, standing, teeth, white background
output:
url: images/981105d619ecdf71c248b1dc735d89de_high.webp
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: trainer
license: apache-2.0
---
# Polybots Trainer
<Gallery />
## Model description
Polybots Trainer
## Trigger words
You should use `trainer` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/fatique/polybotstrainer/tree/main) them in the Files & versions tab.
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