Instructions to use glif-loradex-trainer/atomdev_de-pixelate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/atomdev_de-pixelate 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/atomdev_de-pixelate") prompt = "wounded centaur, mythical creature de-pixelate" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- diffusers
- text-to-image
- template:sd-lora
- base_model:black-forest-labs/FLUX.1-dev
- base_model:finetune:black-forest-labs/FLUX.1-dev
- license:other
- region:us
- flux
- lora
widget:
- output:
url: samples/1753476503220__000000750_0.jpg
text: wounded centaur, mythical creature de-pixelate
- output:
url: samples/1753476528080__000000750_1.jpg
text: ruins of athens, snake de-pixelate
- output:
url: samples/1753476552924__000000750_2.jpg
text: silver vampire sword de-pixelate
base_model: black-forest-labs/FLUX.1-dev
trigger: de-pixelate
instance_prompt: de-pixelate
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
de-pixelate
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user atomdev.

- Prompt
- wounded centaur, mythical creature de-pixelate

- Prompt
- ruins of athens, snake de-pixelate

- Prompt
- silver vampire sword de-pixelate
Trigger words
You should use de-pixelate 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.