Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
fantasy
art
realistic
artistic
stable-diffusion
stable-diffusion-diffusers
Lykon
DarkAgent
Instructions to use Yntec/Dreamscape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Dreamscape 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/Dreamscape", 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
- Xet hash:
- e2bde011afd422fb90943d77aedaff99f2677dbea7b1367f84b4cb9fda34755b
- Size of remote file:
- 246 MB
- SHA256:
- ccde6223ba1d5c4e5f7313d03c1ff88451a1c465ae3933d68dc170405907fc91
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.