Instructions to use Akbartus/Mughal-Miniature-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akbartus/Mughal-Miniature-Lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Akbartus/Mughal-Miniature-Lora") prompt = "Mughal miniature painting of a castle" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload MughalMini.safetensors
Browse files- MughalMini.safetensors +3 -0
MughalMini.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:279e691da9ecc5b80f09b8833449ea96002767f744abf6565709c51bfaafb6d7
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