Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/Sudachi_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/Sudachi_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/Sudachi_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.fp16.safetensors from digiplay/Sudachi_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/digiplay/Sudachi_diffusers/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://digiplay/Sudachi_diffusers/vae/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/digiplay/Sudachi_diffusers/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
167 MB
- Xet hash:
- 38ce919eb5f8149f6f63d8f2adeb42b64f9b31652c7336bf87c62680554132df
- Size of remote file:
- 167 MB
- SHA256:
- 9bcf93488ec515e4c968e12c80676ac174fa3d501563aaddb9f09991e6fd04ee
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