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 vae/diffusion_pytorch_model.bin from circulus/sd-anireal-3d-v2: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/circulus/sd-anireal-3d-v2/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://circulus/sd-anireal-3d-v2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/circulus/sd-anireal-3d-v2/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 52302a13d5e388684fa4ddfc3aed6b1597c2d6f2fe40a9527bc67ab7bfe395b8
- Size of remote file:
- 335 MB
- SHA256:
- 07d12918e88c51589a1d6a3f55f088d4bf97692d20b74f69eb365d4dc55be31c
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