You can deploy this model and start earning money today!

runchat/
lora-875a3592-865a-43eb-83d7-cdd9111af0e7-aac716

Name: lora-875a3592-865a-43eb-83d7-cdd9111af0e7-aac716
Availability: InStock

black-forest-labs/FLUX.1-dev

adapter

other

Views

No views yet

Flux LoRA: Cathedral’s Fan Vaulting

This is a LoRA (Low-Rank Adaptation) model for Flux.1-dev fine-tuned on images with the trigger word Cathedral’s Fan Vaulting.

Files

pytorch_lora_weights.safetensors: Diffusers format (use with diffusers library)
pytorch_lora_weights_webui.safetensors: Kohya format (use with AUTOMATIC1111, ComfyUI, etc.)

Usage

Diffusers Library

python

from diffusers import FluxPipeline
import torch

# Load base model
pipe = FluxPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev",
    torch_dtype=torch.bfloat16
)

# Load LoRA weights (diffusers format)
pipe.load_lora_weights("runchat/lora-875a3592-865a-43eb-83d7-cdd9111af0e7-aac716", weight_name="pytorch_lora_weights.safetensors")
pipe = pipe.to("cuda")

# Generate image
prompt = "a photo of a Cathedral’s Fan Vaulting style"
image = pipe(prompt, num_inference_steps=50, guidance_scale=3.5).images[0]
image.save("output.png")

WebUI (AUTOMATIC1111, ComfyUI, etc.)

Download the pytorch_lora_weights_webui.safetensors file and place it in your WebUI's LoRA directory. Use the trigger word Cathedral’s Fan Vaulting in your prompts.

Training Details

Base model: black-forest-labs/FLUX.1-dev
Training steps: 500
Learning rate: 0.001
Batch size: 2
LoRA rank: 16
Trigger word: Cathedral’s Fan Vaulting

License

This model is trained on Flux.1-dev and inherits its non-commercial license. Please see the license for usage restrictions.