Instructions to use bkrs/ICBINF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bkrs/ICBINF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bkrs/ICBINF", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
π© Report: Illegal or restricted content
#1
by Meov5 - opened
The content of this dataset apparently contains sdxl model, which in turn, based on certain tags present in the list (https://files.catbox.moe/pmd33i.txt), generates content that includes:
minors (under 18) in any sexualized context or context that insinuates, or portrays sexual intent, including but not limited to:
All stylized, anime, or cartoon content depicting children in inappropriate or sexualized situations
LoRa model:
civitai.com/models/723360/ai-styles-dump-animaillustriousrouweinoob
It's not true. Such generalization knowledge comes from upstream illustrious/noob/rouwei/anima models, while lora or finetune merely applying styles on top of that