Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use LH18/Train2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LH18/Train2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LH18/Train2", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- 1724368045.657689
- 1724368045.6592662
- 1724449910.4024255
- 1724449910.4039505
- 1724456908.3228018
- 1724456908.3242912
- 1724457787.9178355
- 1724457787.9197104
- 1724457844.5198634
- 1724457844.52153
- 1724694929.5174553
- 1724694929.5189018
- 1724695236.7909143
- 1724695236.7924626
- 1724697404.8142695
- 1724697404.8157063
- 1724792802.0587673
- 1724792802.06036
- 1724860821.3806217
- 1724860821.3821187
- 1724860887.6065538
- 1724860887.6081367
- 1724860928.396158
- 1724860928.3976984
- 1724861001.4089618
- 1724861001.4105783
- 1724861036.0952282
- 1724861036.0967805
- 1724861071.2181258
- 1724861071.2196608
- 33.4 kB xet
- 88 Bytes xet
- 1.4 kB xet
- 88 Bytes xet
- 33.4 kB xet
- 15.6 kB xet
- 33.4 kB xet
- 33.4 kB xet
- 67 kB xet
- 170 Bytes xet
- 170 Bytes xet
- 170 Bytes xet
- 170 Bytes xet
- 170 Bytes xet
- 33.4 kB xet