Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
template:sd-lora
sd3.5-large
sd3.5
sd3.5-diffusers
Instructions to use LSEJE/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LSEJE/trained_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("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LSEJE/trained_model") prompt = "solitary lighthouse standing tall against a stormy sea,,harsh midday sun beats down" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 69d6fbf71c9135e043bbfdcc760c0c69365d49b80e202608336743746af13eb8
- Size of remote file:
- 1 kB
- SHA256:
- 55d89757e9a416b80d2e21ab8e682105c317c618793a364358277d485b3dbfc8
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