Antique_Table_B1_1E4_Lora64_Cdr0_S1000
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('TheNetherWatcher/antique_table_b1_1e4_lora64_cdr0_s1000', 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
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Model tree for TheNetherWatcher/antique_table_b1_1e4_lora64_cdr0_s1000
Base model
black-forest-labs/FLUX.1-dev