Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/SDVN1-Real_origin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/SDVN1-Real_origin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/SDVN1-Real_origin", 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.fp16.bin from digiplay/SDVN1-Real_origin: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/digiplay/SDVN1-Real_origin/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://digiplay/SDVN1-Real_origin@refs/pr/2/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/digiplay/SDVN1-Real_origin/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 42ce18727be653b37a2c54b9662766c299767f596d45a30fe013309699111c5d
- Size of remote file:
- 167 MB
- SHA256:
- de45ed4914b1bb64893918ddc846aa4bd87c3fdd5c564cc684fbd5989be12491
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