Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
art
artistic
Instructions to use luongphamit/DreamShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use luongphamit/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("luongphamit/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
Commit History
-
Merge branch 'main' of https://huggingface.co/luongphamit/DreamShaper
d4f19d6 -
.
cc8e01a -
Upload dreamshaper_4BakedVae.safetensors
87598a2 -
.
ccedcea -
.
bc15d6f -
.
8f6e613 -
Upload model_index.json
960d4b4 -
Update README.md
7c42cf7 -
Update README.md
a1e1022 -
Update README.md
3d5a612 -
Update README.md
4f45bb6 -
Update README.md
cc7ebd0 -
Create README.md
51f2ce8 -
Upload dreamshaper_4BakedVae.safetensors
744af03 -
initial commit
c3ef6bf