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 unet/diffusion_pytorch_model.safetensors from digiplay/Defacta_v1_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/digiplay/Defacta_v1_diffusers/resolve/main/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://digiplay/Defacta_v1_diffusers/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/digiplay/Defacta_v1_diffusers/resolve/main/unet/diffusion_pytorch_model.safetensors
3.44 GB
- Xet hash:
- a1b0fcf63fb836527017ca8ffe92faa1cff4cc725c533877e48434dc51d097a6
- Size of remote file:
- 3.44 GB
- SHA256:
- c150e1ae74c7c9d5d1733f40c55c71698f15f398f4a2d74e3045b3f8a63f29ea
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