Instructions to use glif-loradex-trainer/fab1an_hasselspace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/fab1an_hasselspace 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/fab1an_hasselspace") prompt = "wounded centaur, mythical creature hasselspace" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
hasselspace
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user fab1an.

- Prompt
- wounded centaur, mythical creature hasselspace

- Prompt
- ruins of athens, snake hasselspace

- Prompt
- silver vampire sword hasselspace
Trigger words
You should use hasselspace 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/fab1an_hasselspace
Base model
black-forest-labs/FLUX.1-dev