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tant
ngmediastudio89/tant
tant is a text-to-image model from ngmediastudio89. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
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.safetensors172 MB · 100%
At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- other
- Access
- Public
- Created
- Mar 1, 2025
- Updated
- Mar 1, 2025
- SHA
- 7a4e8c06
Base models
Model card
From the Hugging Face model README
Tant
<Gallery />Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use TAN 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('ngmediastudio89/tant', 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
- Task
- Text-to-Image
- Library
- diffusers
- License
- other
- Languages
- en
- Fal Ai
- live
- Replicate
- live
- Wavespeed
- live
- Created
- Mar 1, 2025
- Updated
- Mar 1, 2025