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("jayr23/laur4-bride")
prompt = "LAUR4-BRIDE woman is riding a bike --d 42"
image = pipe(prompt).images[0]LAUR4-BRIDE
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- LAUR4-BRIDE woman is riding a bike --d 42
- Prompt
- LAUR4-BRIDE woman is holding a hamster --d 42
- Prompt
- LAUR4-BRIDE woman is drinking too much champagne from the bottle --d 42
Trigger words
You should use LAUR4-BRIDE woman 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 jayr23/laur4-bride
Base model
black-forest-labs/FLUX.1-dev