Text-to-Image
Diffusers
ONNX
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use TheyCallMeHex/epiCRealism-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheyCallMeHex/epiCRealism-ONNX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheyCallMeHex/epiCRealism-ONNX", 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:
- b9406a9d4e595ee6b65e71b06e83a4ac4309ef9dd8295475cfbcfebd3875de3b
- Size of remote file:
- 3.44 GB
- SHA256:
- 24cb7be8989673ee434fd70ea9f7beadb29ec21ff43a144a2e66d1c10c7d68c6
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