Instructions to use Muapi/epicrealness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/epicrealness with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/epicrealness") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 9f9fec90f908c5467d7efb19189d697c4aaea14f0a060ccc4f9f4010f1ba7728
- Size of remote file:
- 1.16 MB
- SHA256:
- b71d340441591efda2d2bb7d238de5ad9247ac9f50b8f3386e4e857ab9792d4e
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