Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base model
General
Everything
Redigleb_Doppler2482
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/C-.-_-.-Aravaggio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/C-.-_-.-Aravaggio 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/C-.-_-.-Aravaggio", 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:
- cfcbbf1937c824cf10226b824aef26727f81d6868d995eb360dfb055397c3268
- Size of remote file:
- 2.13 GB
- SHA256:
- 65b3254d0e7f1f0dfce0d22c60cfdee4e37ce8d455b530137fb9355b5e0ea15a
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