sahirp/flux-model-f8ba63d0-d91c-4382-b4e5-df0f6ac76d56

Flux Model F8Ba63D0 D91C 4382 B4E5 Df0F6Ac76D56

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', 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