Instructions to use lonen78u/fdsj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lonen78u/fdsj 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("lonen78u/fdsj") prompt = "afdf man in a castle" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
fdsj
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- afdf man in a castle

- Prompt
- afdf man with long green hair and knight armour

- Prompt
- afdf women with blue eyes on the verge of tears

- Prompt
- afdf man with a sword ready for battle

- Prompt
- afdf man who is handsome getting dressed
Trigger words
You should use afdf to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for lonen78u/fdsj
Base model
black-forest-labs/FLUX.1-dev