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 DreamShaper_4BakedVae.safetensors from xyn-ai/DreamShaper: direct link, hf CLI and curl.
- Browser
- Download file 5.98 GB
-
https://huggingface.co/xyn-ai/DreamShaper/resolve/main/DreamShaper_4BakedVae.safetensors
- Command line
-
hf download hf://xyn-ai/DreamShaper/DreamShaper_4BakedVae.safetensors
-
curl -L -o DreamShaper_4BakedVae.safetensors https://huggingface.co/xyn-ai/DreamShaper/resolve/main/DreamShaper_4BakedVae.safetensors
5.98 GB
- Xet hash:
- e7f8c2f178cc1fd93aaae0c04de216a904e72add4eddb97c3f0645c9ca828729
- Size of remote file:
- 5.98 GB
- SHA256:
- 7f16bbcd80427ca1c7eb0f10778943964f3da6d443117f76dd49675ac2ac923e
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