Instructions to use aliensmn/Bianca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aliensmn/Bianca with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aliensmn/Bianca") prompt = "bianca" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Bianca LoRA Collection
This repository contains LoRA (Low-Rank Adaptation) models trained with different methods.
Model Description
- Developed by: aliensmn
- Model type: LoRA
- Base model: Stable Diffusion XL
Repository Structure
aliensmn/Bianca/
βββ README.md # This file
βββ metadata.json # Model metadata
βββ Loras/ # LoRA files folder
βββ QWEN IMAGE Trained Lora/
β βββ README.md
β βββ biaqw.safetensors
βββ Wan Trained Loras/
βββ README.md (ready for WAN LoRA uploads)
Available LoRAs
QWEN IMAGE Trained Lora
Located in Loras/QWEN IMAGE Trained Lora/
- biaqw.safetensors - QWEN-trained LoRA model
- Trigger word:
bianca
Wan Trained Loras
Located in Loras/Wan Trained Loras/
- Ready for WAN high and low LoRA uploads
Usage
ComfyUI
- Download the LoRA file from the appropriate folder
- Place it in your ComfyUI
models/loras/folder - Use the "Load LoRA" node in your workflow
- Include the trigger word in your prompt
Automatic1111/Forge
- Download the LoRA file from the appropriate folder
- Place it in your
models/Lora/folder - Use in prompt:
<lora:filename:1.0>(adjust weight as needed) - Include the trigger word in your prompt
Example Prompts
bianca, portrait, high quality, detailed
License
Please check the license terms before using these models.
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