Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Noosphere
Dreamlike
Rainbowpatch
Instructions to use Yntec/Dreamsphere with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Dreamsphere 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/Dreamsphere", 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:
- b3087d5edb6063abb43f5d6ca8d7f946dd2161d8060d79470f9950ae52ad7906
- Size of remote file:
- 492 MB
- SHA256:
- 8ee7076cac2f8a3b21c93f7a8f0865096c90c20c4bc58ac9e1927a418d8cde04
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