Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
art
artistic
Instructions to use xyn-ai/DreamShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xyn-ai/DreamShaper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xyn-ai/DreamShaper", 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 xyn-ai/DreamShaper: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/xyn-ai/DreamShaper/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://xyn-ai/DreamShaper/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/xyn-ai/DreamShaper/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 3d7198915b8fdbd06f7b345549bda480e1b5a45b1ceca6a9ee99790008a8fb8f
- Size of remote file:
- 492 MB
- SHA256:
- 07df4eeb529dbf274df592eba27a8faba2f91c23ce0cd9d59549f7e1f5eecbb6
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