Instructions to use halilugur/tshirt_lora_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use halilugur/tshirt_lora_v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("halilugur/tshirt_lora_v1") prompt = "cute panda resting on blue clouds, crescent moon and yellow stars background, flat vector illustration, tshirt" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 4bd3c31a735ae09d2df43dea1a0d7e10522ff611b7e1ada98b863abd424b927b
- Size of remote file:
- 2.55 MB
- SHA256:
- 2719378673b303260750124559aeb397a7fc93c66edb0c34375dccf051956320
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