Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use lamble-lambe/atelie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lamble-lambe/atelie with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lamble-lambe/atelie") 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:
- 5125bfea774acd096e1fb389ddcfbd6fcca4710231e1533af305cec5d73eb4bc
- Size of remote file:
- 13 MB
- SHA256:
- c59f5415d0377e6aced65f4f0c95693c5f331166ccfd1b26430c8fb12936e63f
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