Instructions to use jianzongwu/DiffSensei with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jianzongwu/DiffSensei with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jianzongwu/DiffSensei", 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
Commit History
-
Upload pytorch_model.bin
Verified signature500ce11 -
Delete image_generator/unet/diffusion_pytorch_model.safetensors
Verified signature63816e8
-
Rename image_generator/unet/diffsensei_unet.safetensors to image_generator/unet/diffusion_pytorch_model.safetensors
Verified signaturec343fd8 -
Upload 2 files
Verified signaturebcc98a7 -
Delete image_generator/magi_image_encoder
Verified signaturea49f731 -
Update image_generator/magi_image_encoder/config.json
Verified signature604857e
-
Upload 42 files
Verified signature4271c2c