Instructions to use imuffin/saaniya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use imuffin/saaniya with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("imuffin/saaniya") prompt = "black haired woman, A mirror selfie taken by a woman in a Target dressing room. holding her phone with the other. She is wearing a light blue dress and white sneakers. Her hair is up in a messy bun. There are several pieces of clothing hanging on hooks behind her. A red banner at the top of the mirror reads \"find more styles, colors, sizes at Target.com\"." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
saaniya

- Prompt
- black haired woman, A mirror selfie taken by a woman in a Target dressing room. holding her phone with the other. She is wearing a light blue dress and white sneakers. Her hair is up in a messy bun. There are several pieces of clothing hanging on hooks behind her. A red banner at the top of the mirror reads "find more styles, colors, sizes at Target.com".
Download model
Download them in the Files & versions tab.
- Downloads last month
- 10
Model tree for imuffin/saaniya
Base model
krea/Krea-2-Raw