Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
art
stable-diffusion-diffusers
Instructions to use Cyanex/D.R.E.A.M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cyanex/D.R.E.A.M with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cyanex/D.R.E.A.M", 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
Upload D.R.E.A.M_Anime-Dsh-Cet-(0.5).safetensors
Browse files
D.R.E.A.M_Anime-Dsh-Cet-(0.5).safetensors
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