tscstudios/mqmsvaa8isfhvq7nuppqccvio3o1_6c30f82d-5b6f-4f5f-8901-6a6f5a5153bc
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Mqmsvaa8Isfhvq7Nuppqccvio3O1_6C30F82D 5B6F 4F5F 8901 6A6F5A5153Bc
<Gallery />
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use TOK to trigger the image generation.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('tscstudios/mqmsvaa8isfhvq7nuppqccvio3o1_6c30f82d-5b6f-4f5f-8901-6a6f5a5153bc', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
