Instructions to use bytedance-research/RealCustom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bytedance-research/RealCustom with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bytedance-research/RealCustom", 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:
- 3e059b3db01043e3e5da4afd5a051aec260f41ee32e6fdb1935be6a69b245fe6
- Size of remote file:
- 931 kB
- SHA256:
- 19e68f177587ce5b634d828465e92420149d035d21170a7b1a0c0207daf86234
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