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:
- 81d4aeabd51a24968baf1ed3aad8f9d181ef6823dd3e1694388e2e1e3819d53e
- Size of remote file:
- 9.23 MB
- SHA256:
- a323c1eb1c952257ba3c8b6aafc9c29e3fa3b9304af6a5b449e19db1448544c6
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