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 text_encoder/pytorch_model.bin from Yntec/elldrethSVividMix: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/elldrethSVividMix/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Yntec/elldrethSVividMix@refs/pr/1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yntec/elldrethSVividMix/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- d144127a6917c0520a9c15c21105453f7a9076f9f2a650b5d70f48f64d7bcfda
- Size of remote file:
- 492 MB
- SHA256:
- 1488d668c019ae70b8d9d6d7228093970fe3054ed1a872f47f336f02fb295a71
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