tscstudios/9an56pdlkbbk8l9li8ocptfnfuo2_79fb834f-fe1f-4d12-bd3c-6bd8d4c1c660
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9An56Pdlkbbk8L9Li8Ocptfnfuo2_79Fb834F Fe1F 4D12 Bd3C 6Bd8D4C1C660
<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/9an56pdlkbbk8l9li8ocptfnfuo2_79fb834f-fe1f-4d12-bd3c-6bd8d4c1c660', 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
