Instructions to use gitgato/tessy-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gitgato/tessy-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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("gitgato/tessy-LoRA") prompt = "photo of tessy a beautiful woman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("gitgato/tessy-LoRA")
prompt = "photo of tessy a beautiful woman"
image = pipe(prompt).images[0]tessy-LoRA

- Prompt
- photo of tessy a beautiful woman
- Negative Prompt
- Low quality
Model description
Trigger words
You should use tessy 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 gitgato/tessy-LoRA
Base model
stabilityai/stable-diffusion-xl-base-1.0