Instructions to use blogcuman/ilaydaakdogan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use blogcuman/ilaydaakdogan 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("blogcuman/ilaydaakdogan") prompt = "ilaydaakdogan She is lying in bed wearing a sexy nightgown" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ilaydaakdogan
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- ilaydaakdogan She is lying in bed wearing a sexy nightgown

- Prompt
- ilaydaakdogan smiling at the camera while drinking wine, photorealistic pose
Trigger words
You should use ilaydaakdogan 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 blogcuman/ilaydaakdogan
Base model
black-forest-labs/FLUX.1-dev