Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
vrgamedevgirl
elldreth
Instructions to use Yntec/CultClassic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/CultClassic 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/CultClassic", 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
Commit History
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Adding `diffusers` weights of this model
This PR adds fp32 and fp16 weights in PyTorch and safetensors format to Yntec/CultClassicb808be0 -
Delete text_encoder/pytorch_model.bin
7dd9451 -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (154ae30defdbd4bab308927f0b2c4e6f79242e82)03ed176