sahirp/flux-model-f8ba63d0-d91c-4382-b4e5-df0f6ac76d56-1739118720
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Flux Model F8Ba63D0 D91C 4382 B4E5 Df0F6Ac76D56 1739118720
<Gallery />
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use NSTLST 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('sahirp/flux-model-f8ba63d0-d91c-4382-b4e5-df0f6ac76d56-1739118720', 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
