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:
- 19275f8d06bc8bfff437a46dc19d2f2285279ddd62a36ead3404365dc5547cdf
- Size of remote file:
- 335 MB
- SHA256:
- 7c90524169ec2a27923d0467d84d39682926e5b492788f4476bbac08f2ddafca
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