Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Painting
oskarsson
MagicArt35
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/BrandiMilne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/BrandiMilne 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/BrandiMilne", 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:
- a2e01d037398be52bb93779f560818bda82a940998cce27bd70d39f1df74f5a2
- Size of remote file:
- 335 MB
- SHA256:
- ce05b30c4e9fc0aa1ca47d6e95388246bb216d75b8e1cc0528fa24484b8495a5
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