Instructions to use benzweijia/UniRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use benzweijia/UniRL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("benzweijia/UniRL", 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
| { | |
| "_class_name": "Showo", | |
| "_diffusers_version": "0.30.1", | |
| "codebook_size": 8192, | |
| "llm_model_path": "microsoft/phi-1_5", | |
| "llm_vocab_size": 50295, | |
| "load_from_showo": true, | |
| "mask_token_id": 58497, | |
| "num_vq_tokens": 1024, | |
| "use_mod": true, | |
| "vocab_size": 58498, | |
| "w_clip_vit": false | |
| } | |