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
File size: 1,025 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/silk-dress.png
text: >-
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.”
base_model: wikeeyang/Flux2-Klein-9B-True-V2
instance_prompt: instapic, detailed skin, capture from phone
---
# instapic
<Gallery />
## Trigger words
You should use `instapic` to trigger the image generation.
You should use `detailed skin` to trigger the image generation.
You should use `capture from phone` to trigger the image generation.
## Download model
[Download](/B4100/instapics/tree/main) them in the Files & versions tab.
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