Instructions to use SearchingMan/Z-Image-Turbo-student-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SearchingMan/Z-Image-Turbo-student-adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SearchingMan/Z-Image-Turbo-student-adapter", 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
- Local Apps
- Draw Things
- DiffusionBee
| { | |
| "base_repo": "Tongyi-MAI/Z-Image-Turbo", | |
| "student_source": "/content/drive/MyDrive/zimage_distillkit_contract_qwen17b/run_20260414_092303/phase2", | |
| "adapter_source": "/content/drive/MyDrive/zimage_distillkit_contract_qwen17b/run_20260414_092303/phase2/custom_adapter", | |
| "adapter_config": { | |
| "base_student_model": "Qwen/Qwen3-1.7B", | |
| "teacher_model": "Tongyi-MAI/Z-Image-Turbo", | |
| "zimage_source": "/content/hf_models_unzipped/Z-Image-Turbo", | |
| "student_hidden_size": 2048, | |
| "teacher_hidden_size": 2560, | |
| "adapter_dim": 1024, | |
| "adapter_heads": 8, | |
| "adapter_blocks": 2, | |
| "adapter_ff_mult": 4, | |
| "adapter_dropout": 0.1, | |
| "hs_tap_index": -2, | |
| "layer_mapping": [ | |
| [ | |
| -2, | |
| -2 | |
| ] | |
| ], | |
| "zimage_enable_thinking": true | |
| }, | |
| "created_at_unix": 1778152795.3211486 | |
| } |