Instructions to use S0NNauX/Pic_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use S0NNauX/Pic_gen 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-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("S0NNauX/Pic_gen") prompt = "eric cat style, cute cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Pic_gen_1

- Prompt
- eric cat style, cute cat
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 S0NNauX/Pic_gen
Base model
stabilityai/stable-diffusion-3.5-large