Instructions to use fal-collab-models/CrystalClearXL_Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal-collab-models/CrystalClearXL_Lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal-collab-models/CrystalClearXL_Lightning", 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:
- c51bf6aa322987783e749631d634acb2d1d924f76dee473baba79c8ab6cd6139
- Size of remote file:
- 246 MB
- SHA256:
- c4ff1720df922dc967d70c26f9094ef634cd9a6075bfa7fd3cc6eea16045ef31
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