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("alexShangeeth/Glorb_lamp")
prompt = "Glorb"
image = pipe(prompt).images[0]Glorb_lamp
Model description
this model is trained on advanced training option with captions and 1000 steps used to train the model
Trigger words
You should use Glorb to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-general-training.
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Model tree for alexShangeeth/Glorb_lamp
Base model
black-forest-labs/FLUX.1-dev