Model Details
Full Model IDLykon/dreamshaper-7
Pipeline / Tasktext-to-image
Librarydiffusers
Downloads (all-time)849.6K
Likes63
Last Modified12/7/2023
Author / OrgLykon
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-to-image", model="Lykon/dreamshaper-7")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
diffuserssafetensorsstable-diffusionstable-diffusion-diffuserstext-to-imageartartisticanimedreamshaperenlicense:creativeml-openrail-mendpoints_compatiblediffusers:StableDiffusionPipelineregion:us
More Text to Image Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🎨 Task: Text to Image
This model is designed for the Text to Image task. Explore more models for this use case.
All Text to Image Models →📊 Popularity
⬇ Downloads849.6K
❤️ Community Likes63
🛠️ Requirements
- →Install: pip install diffusers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.