Text-to-Image
Diffusers
English
StableDiffusionPipeline
generative ai
stable-diffusion
image-to-image
realism
art
Instructions to use circulus/sd-anireal-3d-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use circulus/sd-anireal-3d-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circulus/sd-anireal-3d-v2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from circulus/sd-anireal-3d-v2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/circulus/sd-anireal-3d-v2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://circulus/sd-anireal-3d-v2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/circulus/sd-anireal-3d-v2/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 751bd2618deb9188771d174ae3eff49f5ad4d7f5dee39cf63a5620d6af12023d
- Size of remote file:
- 492 MB
- SHA256:
- 570b3169573846e5aa04cd971b90ecd1d03d7655ee66965d0f782cc29a1e0019
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.