Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/Defacta_v1_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/Defacta_v1_diffusers 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/Defacta_v1_diffusers", 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 digiplay/Defacta_v1_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/digiplay/Defacta_v1_diffusers/resolve/0a5dee1933a6972ce9f6e605cd26eabc8e2eb2a3/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://digiplay/Defacta_v1_diffusers@0a5dee1933a6972ce9f6e605cd26eabc8e2eb2a3/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/digiplay/Defacta_v1_diffusers/resolve/0a5dee1933a6972ce9f6e605cd26eabc8e2eb2a3/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 73650a6eac5838effe03c69085bc12ec7f1f1203f5be1db31a0f78482fd54aeb
- Size of remote file:
- 335 MB
- SHA256:
- 7b82632a48690b2f213c908ab86d13eeb977a5dc2271e51e9f7a03cda9d57ea7
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