Instructions to use glif-loradex-trainer/dham_starknet_brother with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/dham_starknet_brother 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/dham_starknet_brother") prompt = "starknetman looking at trading charts" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
starknet_brother
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user dham.

- Prompt
- starknetman looking at trading charts

- Prompt
- starknetman dressed as santa clause

- Prompt
- starknetman running from the fbi
Trigger words
You should use starknetman 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/dham_starknet_brother
Base model
black-forest-labs/FLUX.1-dev