Instructions to use bugratest/modeltest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bugratest/modeltest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bugratest/modeltest", 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 diffusion_pytorch_model.bin
Verified signature341aabf -
Delete diffusion_pytorch_model.bin
Verified signature57ce629 -
Upload diffusion_pytorch_model.bin
Verified signature40a459f -
Delete unet/diffusion_pytorch_model.bin
Verified signature178cb03
-
Upload diffusion_pytorch_model.bin
Verified signature8fd442e -
Delete unet/diffusion_pytorch_model.bin
Verified signature53cc95c
-
Upload diffusion_pytorch_model.bin
Verified signaturef69a490 -
Delete unet/diffusion_pytorch_model.bin
Verified signature8d07447 -
Upload diffusion_pytorch_model.bin
Verified signature5ae8456 -
Delete unet/diffusion_pytorch_model.safetensors
Verified signature019ae8a -
Delete unet/diffusion_pytorch_model.fp16.safetensors
Verified signatureca812d9 -
Duplicate from SG161222/RealVisXL_V4.0
Co-authored-by: Evgeny <SG161222@users.noreply.huggingface.co>a60cac1