Instructions to use glif-loradex-trainer/Swap_agrawal14_miss_formalin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/Swap_agrawal14_miss_formalin 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/Swap_agrawal14_miss_formalin") prompt = "Eating a cheesecake $wap_formalin" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
miss_formalin
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user Swap_agrawal14.

- Prompt
- Eating a cheesecake $wap_formalin

- Prompt
- Driving a bike $wap_formalin

- Prompt
- Offering glass of water $wap_formalin

- Prompt
- Crying sitting under tree$wap_formalin
Trigger words
You should use $wap_formalin 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/Swap_agrawal14_miss_formalin
Base model
black-forest-labs/FLUX.1-dev