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 Settings
- Draw Things
- DiffusionBee
Rename panda_sample.jpg to sample_1.jpg
Browse files- .gitattributes +1 -0
- panda_sample.jpg → sample_1.jpg +0 -0
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panda_sample.jpg → sample_1.jpg
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