Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
Woman
2D
Anime
Dark Fantasy
UMAZTLI
Barons
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/BarNone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/BarNone 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/BarNone", 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:
- abf8cfe772169b2bdd23509fde3ad9ba603a49da3160ecf71dce13f9d530b169
- Size of remote file:
- 3.81 GB
- SHA256:
- 13c3f8401515153458e3c7b410fb82829b1cf978afe66c12df39b48099338565
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