Modelpublic

tscstudios/mqmsvaa8isfhvq7nuppqccvio3o1_cea7b6fc-5d7d-400a-a98e-d67abf603e4d

sourceHugging Faceotherupdated 2y agoView on Hugging Face

0likes8downloads

Model Card

Mqmsvaa8Isfhvq7Nuppqccvio3O1_Cea7B6Fc 5D7D 400A A98E D67Abf603E4D

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_cea7b6fc-5d7d-400a-a98e-d67abf603e4d', 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