Instructions to use xmarkinmtlx/CLBVNTG_Caricature_Tees with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xmarkinmtlx/CLBVNTG_Caricature_Tees with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("xmarkinmtlx/CLBVNTG_Caricature_Tees") prompt = "A vintage t-shirt design in the vintage caricature painting style of CLBVNTG featuring" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
CLBVNTG_Caricature_Tees
Model description
A vintage t-shirt design lora
Trigger words
You should use A vintage t-shirt design in the vintage caricature painting style of CLBVNTG featuring to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
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Model tree for xmarkinmtlx/CLBVNTG_Caricature_Tees
Base model
black-forest-labs/FLUX.1-dev