Instructions to use timduck8/hmv10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timduck8/hmv10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("timduck8/hmv10", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 545ba5707865c4cd34cbf0bffaef407746307f85c562a511f29e8d8c65f671cf
- Size of remote file:
- 6.94 GB
- SHA256:
- 77a2eb845f341d4d2f83b7e9f9f6b53d7afe4aecb4af8041e44d772e03a9294f
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