Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
art
anime
style
checkpoint
jinofcoolnes
Instructions to use Yntec/samdoesartsUlt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/samdoesartsUlt 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/samdoesartsUlt", 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:
- 98d9e06dfde6a1381826cc90e98f6cfcc5bc32631fc7662c5cf37d14b6af213c
- Size of remote file:
- 335 MB
- SHA256:
- ce34700ed71055fe977071e75b0a5f0affcc00a56bc1f8de3cf25baff48563aa
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