Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
art
artistic
anime
Instructions to use Lykon/DreamShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lykon/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("Lykon/DreamShaper", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Model Characteristics
#55
by StarGazer-Media - opened
Is it same as dreamshaper-8?? if not what version it is?
Can You provide the best configuration for this model:
num_inference_steps:
guidance_scale:
Scheduler:
Can you also provide a brief comparison of this, dreamshape-xl-2-turbo, dreamshaper xl, dreamshaper-8(f it's different) which is better at prompt understanding and image quality.
Thanks for your contribution
this is the old repo with the original uploads of the 1.5 models. Just ignore it.
Lykon changed discussion status to closed