Instructions to use LeFeujitif/sandbox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LeFeujitif/sandbox with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Liberata/illustrious-xl-v1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LeFeujitif/sandbox") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Liberata/illustrious-xl-v1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("LeFeujitif/sandbox")
prompt = "-"
image = pipe(prompt).images[0]Mixing
Model description
Just a mix of lora
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 LeFeujitif/sandbox
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
Liberata/illustrious-xl-v1.0