Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Characters
Landscapes
3D
goldenwraft
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/C3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/C3 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/C3", 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:
- da2d481305cc8c1ca06621e067e959d3a396e0cee0750303dd49397803b407b0
- Size of remote file:
- 492 MB
- SHA256:
- e1e56de7abc0a9f80637ef9a594fb2e80c546a44fa0a60540f06d1102ec30a03
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