Instructions to use rityak/RealCoreXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rityak/RealCoreXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rityak/RealCoreXL", 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:
- 49eac49d41b4c580bbdda313d4b05539f7167f3f64cbb860d08477f81e9d3ec0
- Size of remote file:
- 1.18 MB
- SHA256:
- a33c0c07b0a23a288bce6a77e20520c764314b1811d3b2b9f90d2b8bdc496029
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