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 Settings
- Draw Things
- DiffusionBee
Commit History
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Update scheduler/scheduler_config.json
0726945 -
Adding `diffusers` weights of this model (#3)
- Adding `diffusers` weights of this model (05becce5a3760fa0ccd55392b0fc0b17b61faa5f)c399dd9
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Update scheduler/scheduler_config.json
6c7e3f0 -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (b28251845c3d13ce2c4207e0b8b0e7afdc6cb7d6)81f1e4b