sahirp/flux-model-41757899-ddeb-4a4a-89bd-ebdc83de64e2-1738472614

Flux Model 41757899 Ddeb 4A4A 89Bd Ebdc83De64E2 1738472614

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-41757899-ddeb-4a4a-89bd-ebdc83de64e2-1738472614', 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