Instructions to use accomplice/realistic_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use accomplice/realistic_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("accomplice/realistic_diffusion", 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:
- 56967065cd213d306d7395c2bbcdd747289c4a6c7a20b0ec1dcb4ac26f61125e
- Size of remote file:
- 492 MB
- SHA256:
- 742bf042a0f6325b293d96cbd9fdc5992adac928bf32dd68f57db24ce74a0a50
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