Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
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Style
Illustration
br_d
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/BrainDance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/BrainDance 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/BrainDance", 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:
- 30229de9bbccdc453c04692150aeb010cb6b417038c27ddf810407d65d69b5d9
- Size of remote file:
- 492 MB
- SHA256:
- c5bd78555b2204f10505832b029241ff58e2e785f81ce698167e0e28a8eed51f
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