Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use abhishek1235/pb_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abhishek1235/pb_models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("abhishek1235/pb_models", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from abhishek1235/pb_models: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/abhishek1235/pb_models/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://abhishek1235/pb_models/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/abhishek1235/pb_models/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- add41d7adffd20cfd367592c8193d06b5402700dd1d8ff42e4d77b061b87be15
- Size of remote file:
- 246 MB
- SHA256:
- 6a34f30098988d85dc0fb0fc272a842ebcf552e2ebc6ce4adbcf3695d08e8a90
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