Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
sd3
sd3-diffusers
image-to-image
simpletuner
safe-for-work
full
Instructions to use saviski/simpletunner-full-novaskin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saviski/simpletunner-full-novaskin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("saviski/simpletunner-full-novaskin", dtype=torch.bfloat16, device_map="cuda") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "StableDiffusion3Pipeline", | |
| "_diffusers_version": "0.34.0.dev0", | |
| "_name_or_path": "stabilityai/stable-diffusion-3.5-medium", | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| null, | |
| null | |
| ], | |
| "text_encoder_2": [ | |
| null, | |
| null | |
| ], | |
| "text_encoder_3": [ | |
| null, | |
| null | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "tokenizer_2": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "tokenizer_3": [ | |
| "transformers", | |
| "T5TokenizerFast" | |
| ], | |
| "transformer": [ | |
| "helpers.models.sd3.transformer", | |
| "SD3Transformer2DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ] | |
| } | |