Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use evatan/beetroot_w_prior with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evatan/beetroot_w_prior with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("evatan/beetroot_w_prior", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks beetroot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from evatan/beetroot_w_prior: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/evatan/beetroot_w_prior/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://evatan/beetroot_w_prior/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/evatan/beetroot_w_prior/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- 4a737d0668dd503ddb07145c04a94a2dc48eae3c7e90e0fe81821f4961d88fa1
- Size of remote file:
- 6.88 GB
- SHA256:
- 1fed83c1bc9c82a19d77bd34f1fdea0605562e4925421a074823d47c57b98bc3
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