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
- Draw Things
- DiffusionBee
- Xet hash:
- 75b2e65ea777fe9ffbbab2766da5fce26f21636e624cf0d5d42cb2747a3fb8b0
- Size of remote file:
- 492 MB
- SHA256:
- 75f412efa1affadb06bbc69b5bf71f33a2ce26b64417e0a1f5754df57b7c5850
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