Instructions to use bglick13/hopper-medium-expert-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-expert-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-expert-v2-value-function-hor32", 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:
- 5fcb8b7a0c48933e57f78d59d92233e7329f40aa92e202dd12141fc35ecfe40a
- Size of remote file:
- 9.23 MB
- SHA256:
- 14c6972d9d1c4c2102caeae69294423697a6aede76bde5442f395292ac42825f
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