Instructions to use AntiLeecher/SmartphoneSnapshotPhoto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AntiLeecher/SmartphoneSnapshotPhoto with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux2-Klein-9B-True-V1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AntiLeecher/SmartphoneSnapshotPhoto") prompt = "amtr snapshot photo." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/2026-02-10-224256_flux-2-klein-base-9b_1234567891_euler_beta_50.png | |
| text: amtr snapshot photo. | |
| base_model: wikeeyang/Flux2-Klein-9B-True-V1 | |
| instance_prompt: flux klein, snapshot, amateur photo | |
| license: apache-2.0 | |
| # Smartphone Snapshot Photo Reality | |
| <Gallery /> | |
| ## Model description | |
| Snapshot Photo | |
| ## Trigger words | |
| You should use `flux klein` to trigger the image generation. | |
| You should use `snapshot` to trigger the image generation. | |
| You should use `amateur photo` to trigger the image generation. | |
| ## Download model | |
| [Download](/AntiLeecher/SmartphoneSnapshotPhoto/tree/main) them in the Files & versions tab. | |