Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use pribadihcr/trained_models_iter_1b_cleanup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pribadihcr/trained_models_iter_1b_cleanup with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pribadihcr/trained_models_iter_1b_cleanup") prompt = "a photo of sks pcb" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4f0ea816b39cbeaaf76e72e71284ec342ced4b9c8fc1c586853ae2481c39261a
- Size of remote file:
- 47.4 MB
- SHA256:
- 4740c7bd13cdfd16420a2b0e4635fb72b046eca4c60c8243fb23bce7c76f6d08
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