Instructions to use bglick13/hopper-medium-v2-value-function-hor32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bglick13/hopper-medium-v2-value-function-hor32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bglick13/hopper-medium-v2-value-function-hor32", torch_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:
- c2c80e8233cd3b7c08297aabc821da0c35c54905daf7f65670f2bd6a2af0f9ec
- Size of remote file:
- 9.23 MB
- SHA256:
- c11c8019e94bb49a8f4f4c5fbe74fef474de2f830a0ffd17de8b53078193b310
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