Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Style
Abstract
Surrealism
ChadUltraF3
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/AgarthaChadstyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/AgarthaChadstyle 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/AgarthaChadstyle", 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:
- 8e51627b38c667d2ffa4292f0895c4b47c0212b5f97c4b8cf707fce1b825876a
- Size of remote file:
- 1.72 GB
- SHA256:
- 7bdb83026f6b4c31ab14f159c700542316f834e8574571aa8b277a6af009f728
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