Text-to-Image
Diffusers
English
StableDiffusionPipeline
generative ai
stable-diffusion
image-to-image
realism
art
Instructions to use circulus/sd-anireal-v2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use circulus/sd-anireal-v2.5 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-v2.5", 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
- Xet hash:
- 11278b37260f70ffca4f580b2f911c2f7047340c13bf729976fb1994647037f6
- Size of remote file:
- 492 MB
- SHA256:
- 32865bae57928ce96ff840e3d2a6de990d6791faa9c3f809420e3c3614ca6b64
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.