Instructions to use songbaijun/qrocde_xl_test_3000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use songbaijun/qrocde_xl_test_3000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("songbaijun/qrocde_xl_test_3000", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
qrcode_XL_controlnet训练教程:https://www.bilibili.com/video/BV1qsWYeuEFy/?spm_id_from=333.999.0.0&vd_source=df1017ec6ad3b9c081909354127e882b
controlnet_train_webU github项目链接(可训练sd15\sdxl\hunyuan\controlnet_lite):https://github.com/wusongbai139/controlnet_train_webUI/tree/main
训练好的qrcode_xl模型:https://huggingface.co/songbaijun/qrocde_xl_test_3000
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