Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General Purpose
Futuristic
Nature
526christian
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/526Mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/526Mix 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/526Mix", 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:
- da01f658b7510e0d3375ab019b4fcbd1e48dbc46a2af7447d761a3b111610d3d
- Size of remote file:
- 246 MB
- SHA256:
- 15c7c4e7dc6208a489c574eda2898bccbef6f57b7b296df7cb26c09436f4f7c5
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