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_3.32_baked_vae_clip_fix.ckpt 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_3.32_baked_vae_clip_fix.ckpt
- Command line
-
hf download hf://xyn-ai/DreamShaper/Dreamshaper_3.32_baked_vae_clip_fix.ckpt
-
curl -L -o Dreamshaper_3.32_baked_vae_clip_fix.ckpt https://huggingface.co/xyn-ai/DreamShaper/resolve/main/Dreamshaper_3.32_baked_vae_clip_fix.ckpt
5.98 GB
- Xet hash:
- 7b301f0a32b1ed3b739808e4d6f60ef12d4c7edbde00a2b4262ee828322085b3
- Size of remote file:
- 5.98 GB
- SHA256:
- bd19602ce0191c5720dae3b9ea272b855a906d3f168a788b666e5f9adb736e3b
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