Instructions to use jiovannip/my_crvmix_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jiovannip/my_crvmix_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jiovannip/my_crvmix_diffusers", 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:
- 280958f8516f5aa771b81545c406fd167e5edd97ef4a49bdb3127599c46ae803
- Size of remote file:
- 492 MB
- SHA256:
- bbdfe5105314f907cac39ac264d46e40ef2b7718c08bf419c5c8dff438ff2bfe
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