Instructions to use Yntec/DreamShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/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("Yntec/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
- Draw Things
- DiffusionBee
DreamShaper 6.2
This is the most detailed version of DreamShaper, even surpassing DreamShaper 8! This is a no-ema version with the 840KVAE baked in. Samples and prompts (all use seed 9119):
cute girl with her bearded boyfriend,retro cartoon style
highly detailed chibi koala in kitchen, hammer chef, fish, dungeons and dragons
Full body picture of a pretty cute girl making cake in school, detailed cartoon eyes, short smile, beautiful and aesthetic, intricate, neat hair, highly detailed, detailed face, smooth, sharp focus, chiaroscuro, magazine ad, 1949, 2D Game Art, anime on canvas, rossdraws, clay mann, CHIBI ART, light novel cover art.
burger
Original page:
https://civitai.com/models/4384?modelVersionId=88504 (DreamShaper 6.2)
Ema version:
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