Instructions to use glif-loradex-trainer/AP123_flux_dev_hubble_telescope with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/AP123_flux_dev_hubble_telescope 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/AP123_flux_dev_hubble_telescope") prompt = "heat death of the universe hubbl3 style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
flux_dev_hubble_telescope
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user AP123.

- Prompt
- heat death of the universe hubbl3 style
Trigger words
You should use hubbl3 style 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/AP123_flux_dev_hubble_telescope
Base model
black-forest-labs/FLUX.1-dev