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:
- d89f3dd1f69a75f19e3d8da72112530280e52da4350f87d2c0ae0d8540353558
- Size of remote file:
- 187 kB
- SHA256:
- a4cc0cf85c8fc4607c60cbd4a7e9d3869c3339d228587b83d553f0a9e3617b1c
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