metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
tshirt design, a cat with sunglasses lounging on a hammock with text
'Purr-fect Vacation' in a playful font. tdsgn
output:
url: samples/1732630500405__000002000_0.jpg
- text: >-
Vector art of a lion riding a bicycle, wearing sporty attire. A logo in
the background with the text 'Need to stay fit y'all' in bold, stylish
font. Designed as a creative and vibrant t-shirt design, tdsgn
output:
url: samples/1732630515114__000002000_1.jpg
- text: >-
tshirt design, a cat in a confused face, with text 'IDK ASK CHATGPT'.
tdsgn
output:
url: images/example_j321wmf1d.png
- text: tshirt design, a monkey says 'IDK ASK PERPLEXITY'. tdsgn
output:
url: images/example_kg8aeoc8x.png
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: tdsgn
license: apache-2.0
tshirt-design-2
Model trained with AI Toolkit by Ostris
Trigger words
You should use tdsgn
to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('dhanushreddy29/tshirt-design-2', weight_name='tshirt-design-2.safetensors')
image = pipeline('tshirt design, a cat with sunglasses lounging on a hammock with text 'Purr-fect Vacation' in a playful font. tdsgn').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers