Instructions to use Yuuuna/RealisticSnapshotZImageTurbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yuuuna/RealisticSnapshotZImageTurbo 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("Yuuuna/RealisticSnapshotZImageTurbo") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/b5c581707be7f7e9aed6537cebc55ce6.jpg | |
| text: '-' | |
| base_model: Tongyi-MAI/Z-Image-Turbo | |
| instance_prompt: null | |
| license: apache-2.0 | |
| # Realistic Snapshot (Z-Image-Turbo) | |
| <Gallery /> | |
| ## Model description | |
| Recommended Strength: 0.60 - 0.70 (This version is potent; start lower and adjust up if needed). Trigger Words: While not strictly required, using these tags will force the model to activate specific textures and lighting styles: For the "Camera Roll" Look: amateur digital snapshot, candid, smartphone capture, high ISO noise, direct on-camera flash. For High-Fidelity Details: visible pores, visible vellus hair, subsurface scattering, detailed skin texture. For Optical Realism: wide-angle lens, barrel distortion, chromatic aberration, depth of field. | |
| ## Download model | |
| [Download](/Yuuuna/RealisticSnapshotZImageTurbo/tree/main) them in the Files & versions tab. | |