Instructions to use DiZH797/my-tuned-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DiZH797/my-tuned-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("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DiZH797/my-tuned-lora") prompt = "Sticker of peppa_girl. Cartoon style. Full-body, smiling, holding a yellow umbrella. Green frog-hoodie, cream face, rosy cheeks, blonde tuft, yellow boots. Confetti and stars. White sticker outline. Transparent background. Joyful, playful." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SberLora

- Prompt
- Sticker of peppa_girl. Cartoon style. Full-body, smiling, holding a yellow umbrella. Green frog-hoodie, cream face, rosy cheeks, blonde tuft, yellow boots. Confetti and stars. White sticker outline. Transparent background. Joyful, playful.
Model description
В рамках выполнения дз №6
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Base model
CompVis/stable-diffusion-v1-4