Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use danielajisafe/trainable_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danielajisafe/trainable_text with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("danielajisafe/trainable_text", 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
- Xet hash:
- 008aa89277fad5aa5895b469f564ef3c44365036e05c12d445e9cc54336c2281
- Size of remote file:
- 492 MB
- SHA256:
- 74c7b6bfb20b7b4d87eac191424c79e9ca4e9f0964ee53da40eff15970ce3467
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