Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use PauliusKub/face_texturemap_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PauliusKub/face_texturemap_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PauliusKub/face_texturemap_model", dtype=torch.bfloat16, device_map="cuda") prompt = "a sks face texturemap" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d77deb6070d3c0bdc22e2360003f7874d99923826524d6cf132380cbc9d13058
- Size of remote file:
- 6.88 GB
- SHA256:
- 3cee46706614db7bad42bb8c792652f3be4129fe42a8581c9e0b5bf0845622a1
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