Instructions to use ckpt/elldrethSLucidMix_v10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ckpt/elldrethSLucidMix_v10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ckpt/elldrethSLucidMix_v10", 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:
- 89f41c08136094d40c14fdbd539f3c18aec8eedfd832d99bd9a5c133e3271af2
- Size of remote file:
- 335 MB
- SHA256:
- 7d3bf405210341286a4a2347ca9034653046bb2ac28fa1e655531abad6c207ca
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