Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
3D
Illustration
nuigurumi
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/BasilRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/BasilRemix 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/BasilRemix", 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:
- d7b3210462b500240d87de9bc794ac0616bb3ed78d8f93d0d9139fa7e31b3474
- Size of remote file:
- 246 MB
- SHA256:
- 3d3d3b44d8ba10496e267eba3c6b0064caf39825ba3976fe341a55c3fda24d7b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.