Instructions to use mindlywork/BandW2Char with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mindlywork/BandW2Char with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mindlywork/BandW2Char") prompt = "BandW2Char" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
BandW2Char
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- Prompt
- BandW2Char
Model description
BandW2Char
Trigger words
You should use BandW2Char to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for mindlywork/BandW2Char
Base model
stabilityai/stable-diffusion-xl-base-1.0