Instructions to use moulichand/Personalised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use moulichand/Personalised with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("moulichand/Personalised", dtype=torch.bfloat16, device_map="cuda") prompt = "Photo of Moulichandbm, a young man with black hair, wearing an orange T-shirt" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
13b328b
1
Parent(s): c7f1372
Upload pytorch_lora_weights.safetensors
Browse files
pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:314814a8a5e034c800d8a94cff789de87dedb7b1ce68e03f1b26d245dc76e5bd
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size 4423144
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