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
metadata
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

- Prompt
- amtr snapshot photo.
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 them in the Files & versions tab.