Instructions to use hf-internal-testing/tiny-random-cogview4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-random-cogview4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-random-cogview4", 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
- Draw Things
- DiffusionBee
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| "<|assistant|>": 151337, | |
| "<|begin_of_image|>": 151339, | |
| "<|begin_of_video|>": 151341, | |
| "<|end_of_image|>": 151340, | |
| "<|end_of_video|>": 151342, | |
| "<|endoftext|>": 151329, | |
| "<|observation|>": 151338, | |
| "<|system|>": 151335, | |
| "<|user|>": 151336, | |
| "[MASK]": 151330, | |
| "[gMASK]": 151331, | |
| "[sMASK]": 151332 | |
| } | |