Instructions to use Disty0/sote-diffusion-cascade-decoder_alpha0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/sote-diffusion-cascade-decoder_alpha0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/sote-diffusion-cascade-decoder_alpha0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "StableCascadeDecoderPipeline", | |
| "_diffusers_version": "0.28.0.dev0", | |
| "_name_or_path": "Disty0/sote-diffusion-cascade-decoder_alpha0", | |
| "decoder": [ | |
| "diffusers", | |
| "StableCascadeUNet" | |
| ], | |
| "latent_dim_scale": 10.67, | |
| "scheduler": [ | |
| "diffusers", | |
| "DDPMWuerstchenScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModelWithProjection" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizerFast" | |
| ], | |
| "vqgan": [ | |
| "wuerstchen", | |
| "PaellaVQModel" | |
| ] | |
| } | |