Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Elldreth
Dream
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/elldrethSVividMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/elldrethSVividMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/elldrethSVividMix", 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 Yntec/elldrethSVividMix: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Yntec/elldrethSVividMix/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/elldrethSVividMix@refs/pr/1/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Yntec/elldrethSVividMix/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 7130f871eb775bed359a1e75f2297107fa3910dab7c7d4dd135220c87d4bb8dc
- Size of remote file:
- 167 MB
- SHA256:
- 0d5d754cd610e392d844219cc55efe4c1d21334653678c70c623f095de9bf79f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.