Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use maver1chh/sd_and_dat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maver1chh/sd_and_dat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maver1chh/sd_and_dat", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e18b6904905e1794b69d82eace108974be54b7bbacf3d69d124276e6228ffa9d
- Size of remote file:
- 1.75 GB
- SHA256:
- 9593bb3080963f5aeca9b6b8160355cf82c1fe45ee6e5266b9fa46f924ca00e2
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