Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Anime
Art
Girl
Photorealistic
LandScapes
Lykon
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/DreamShaperRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DreamShaperRemix 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/DreamShaperRemix", 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/DreamShaperRemix: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Yntec/DreamShaperRemix/resolve/refs%2Fpr%2F3/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/DreamShaperRemix@refs/pr/3/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Yntec/DreamShaperRemix/resolve/refs%2Fpr%2F3/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- f7ff8cb3d1c6f0d660f1dabe5c8076052f386e2543cf58351e494cc50fb9cf1a
- Size of remote file:
- 167 MB
- SHA256:
- a8d4eefb56cca72b8ed886595f13eb197da835da6100ceaad98ed758b2423a27
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.