Instructions to use alihamzajutt/new_l_cfld_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alihamzajutt/new_l_cfld_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alihamzajutt/new_l_cfld_model", 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
- Xet hash:
- 2caa19301667c7ef4cb021ac1183e67f756e2de418866fc34c869b4bae743e9c
- Size of remote file:
- 969 MB
- SHA256:
- 75fb54e31320b658decdf20ae9bd9a42f1c74ef0c9968775730790891f72c86a
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