Instructions to use EXCAI/GO-Renderer-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EXCAI/GO-Renderer-14B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EXCAI/GO-Renderer-14B", 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
- Xet hash:
- 0ff78aec4c1d2fd812a0813f1132815a722fdc9c2e943098af21d761850637a1
- Size of remote file:
- 32.8 GB
- SHA256:
- 14317b36ddab3f0494d663e02eb33e7ad21760e750cf76d19d06b5f78f07da35
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