Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/VersaMix_base_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/VersaMix_base_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/VersaMix_base_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 text_encoder/model.fp16.safetensors from digiplay/VersaMix_base_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/digiplay/VersaMix_base_diffusers/resolve/main/text_encoder/model.fp16.safetensors
- Command line
-
hf download hf://digiplay/VersaMix_base_diffusers/text_encoder/model.fp16.safetensors
-
curl -L -o model.fp16.safetensors https://huggingface.co/digiplay/VersaMix_base_diffusers/resolve/main/text_encoder/model.fp16.safetensors
246 MB
- Xet hash:
- d67f707ac8339fb0d83527b1c2fb96815ff8d8fd73e0cc3789a547ec48f71d6b
- Size of remote file:
- 246 MB
- SHA256:
- 4a58549bde2f170405f03b3324a6df051295a2c3278acc8f3293d87dcdba52f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.