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 text_encoder/pytorch_model.bin from Yntec/DreamShaperRemix: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/DreamShaperRemix/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Yntec/DreamShaperRemix@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yntec/DreamShaperRemix/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 97b2b6097c11e1bb9c638aec491907eecf170ebb411ad717b1c68f984be533cf
- Size of remote file:
- 492 MB
- SHA256:
- 9b9385acf4e2cff22e0ae8e150de8e7af3371eb80db5ee4be4cf68d2a4a41c25
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