Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use dcaustin33/DreamBoothDerek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dcaustin33/DreamBoothDerek with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dcaustin33/DreamBoothDerek", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from dcaustin33/DreamBoothDerek: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/dcaustin33/DreamBoothDerek/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://dcaustin33/DreamBoothDerek@refs/pr/1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dcaustin33/DreamBoothDerek/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 0bf6f48708a5691aa328d72b592fa7810e5a64fb08564de96749399880096407
- Size of remote file:
- 492 MB
- SHA256:
- 93456eb91248bbe883121b9681d376db07fb068031ad76b03c1a986abc14ef26
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