Instructions to use glif-loradex-trainer/quitters_smooshy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/quitters_smooshy 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("glif-loradex-trainer/quitters_smooshy") prompt = "smooshy portrait " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
smooshy
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user quitters.

- Prompt
- smooshy portrait

- Prompt
- the smooshy incident

- Prompt
- a large sphere made entirely out of smooshy
Trigger words
You should use smooshy to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Model tree for glif-loradex-trainer/quitters_smooshy
Base model
black-forest-labs/FLUX.1-dev