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": "PaellaVQModel", | |
| "_diffusers_version": "0.28.0.dev0", | |
| "_name_or_path": "/home/disty/.cache/huggingface/hub/models--stabilityai--stable-cascade/snapshots/a89f66d459ae653e3b4d4f992a7c3789d0dc4d16/vqgan", | |
| "bottleneck_blocks": 12, | |
| "embed_dim": 384, | |
| "in_channels": 3, | |
| "latent_channels": 4, | |
| "levels": 2, | |
| "num_vq_embeddings": 8192, | |
| "out_channels": 3, | |
| "scale_factor": 0.3764, | |
| "up_down_scale_factor": 2 | |
| } | |