Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use ManuD/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManuD/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("ManuD/trained_model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of Julia" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 261cddbd7907cd87d989c6e338d595f353fbfada24bf1cffea33705690d403a6
- Size of remote file:
- 1.73 GB
- SHA256:
- db821d1b5061606a88258a86660070f05d42d0b37680590eb451a66cacf06c7d
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