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("fabrice93300/1nk4-v1")
prompt = "A photograph of 1nK4. She wears a black lace lingerie. The background of the image is a modern, minimalist room."
image = pipe(prompt).images[0]1nK4-v1
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- A photograph of 1nK4. She wears a black lace lingerie. The background of the image is a modern, minimalist room.
- Prompt
- A photograph of 1nK4. She wears a white bikini, bathing in big waves, sunset.
- Prompt
- A photograph of 1nK4posing nude for a professional photographer.
- Prompt
- A professional portrait of 1nK4, soft focus, dimly lit.
Trigger words
You should use 1nK4, woman, girl 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 fabrice93300/1nk4-v1
Base model
black-forest-labs/FLUX.1-dev