Instructions to use ovieyra21/yebama-sd15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovieyra21/yebama-sd15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ovieyra21/yebama-sd15") prompt = "yebama" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
yebama-sd15

- Prompt
- yebama
- Negative Prompt
- worst detail, low detail, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, bad artist, signature, watermark, username
Model description
yebama
Trigger words
You should use yebama 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 ovieyra21/yebama-sd15
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5