Instructions to use glif-loradex-trainer/saq1b_collage_art_portrait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/saq1b_collage_art_portrait 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/saq1b_collage_art_portrait") prompt = "collage art, a portrait of a man" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
collage_art_portrait
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user saq1b.

- Prompt
- collage art, a portrait of a man

- Prompt
- collage art, a portrait of a woman

- Prompt
- collage art, a girl eating icecream

- Prompt
- collage art, a horse in the garden
Trigger words
You should use collage art 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/saq1b_collage_art_portrait
Base model
black-forest-labs/FLUX.1-dev