Instructions to use harsh8001/Blueprint101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use harsh8001/Blueprint101 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("harsh8001/Blueprint101") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" is not allowed to be empty
Blueprint101

- Prompt
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Model description
this models convets the prompt into old manuscript blueprint style.
Trigger words
You should use blueprint101 to trigger the image generation.
Download model
Download them in the Files & versions tab.
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