Instructions to use glif-loradex-trainer/chrysoliteop_Pixellite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/chrysoliteop_Pixellite 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/chrysoliteop_Pixellite") prompt = "Cat, 16x16 grid, grid, Pixel grid alpha pattern" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Pixellite
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user chrysoliteop.

- Prompt
- Cat, 16x16 grid, grid, Pixel grid alpha pattern

- Prompt
- Monkey, Pixel grid alpha pattern

- Prompt
- Horse, Pixel grid alpha pattern
Trigger words
You should use Pixel grid alpha pattern 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/chrysoliteop_Pixellite
Base model
black-forest-labs/FLUX.1-dev