Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
art
artistic
DreamlikeArt
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/DreamlikeDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DreamlikeDiffusion 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/DreamlikeDiffusion", 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
- Xet hash:
- 0b797631c9d13ca4d1b29002263093494301dc59fea1d93553fc649fc4c065d5
- Size of remote file:
- 492 MB
- SHA256:
- d05b1445e5e46ac4cd5b6373f40e97b509c1258efb945e1e0d2504e7cafe2c17
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