Instructions to use trongg/lustify_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use trongg/lustify_v4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("trongg/lustify_v4", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Upload renca.safetensors
Verified signature5612ba5 -
Upload natasha.safetensors
Verified signature929af89 -
Upload marcela.safetensors
Verified signaturebd3c6ca
-
Upload marcela_768_2000_new.safetensors
Verified signaturec09fb34 -
Upload pytorch_lora_weights (6).safetensors
Verified signature5c45ddb -
Upload pytorch_lora_weights (4).safetensors
Verified signature729e192
-
Upload marcela_3000densepose.safetensors
Verified signature1c8722a
-
Upload ./unet/diffusion_pytorch_model.safetensors with huggingface_hub
Verified signaturec25ab81
-
Upload StableDiffusionXLPipeline
Verified signature53ad89a -
initial commit
Verified signature6bd6d8a