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:
- 3c177502a20511da675fdeabc01541ebd262159485d6af23afca8edec100a0d7
- Size of remote file:
- 335 MB
- SHA256:
- 55a4a75f7f5d10dfc420911dc2ed058564285afed62e5ef05f5642767b87c370
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