Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use guaguale/model_kthv_vcg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guaguale/model_kthv_vcg with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("guaguale/model_kthv_vcg", dtype=torch.bfloat16, device_map="cuda") prompt = "a male idol sks with blonde hair, wearing a black jacket and fringes on the sides of the jacket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from guaguale/model_kthv_vcg: direct link, hf CLI and curl.
- Browser
- Download file 1.41 GB
-
https://huggingface.co/guaguale/model_kthv_vcg/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://guaguale/model_kthv_vcg/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/guaguale/model_kthv_vcg/resolve/main/text_encoder/pytorch_model.bin
1.41 GB
- Xet hash:
- 682a196be3c43af202ee4d18200faedffa89ccb1e8defccc05af3b61f32539b0
- Size of remote file:
- 1.41 GB
- SHA256:
- aa8eed19b546f8b2b13c44c2dfe4e6be358dfcf3fa396ddf596979976c61814f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.