Instructions to use B4100/instapics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/instapics 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-V2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/instapics") prompt = "Trigger Word: instapic, hard flash, camera flash, smartphone photo, candid, shot on iphone, high detail skin Recommended Strength: 0.8 to 1.2 (Start at 1.0. Lower for a cleaner look, higher for more \"raw\" camera grit). Target Models: Optimized for Zeetrait (ZIT) and Flux 2 Klein. Prompts: Works great with keywords like “selfie,” “mirror selfie,” “flash photography,” “candid,” “phone camera.”" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files- images/silk-dress.png +3 -0
- ultra_real_v4.safetensors +3 -0
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