Instructions to use Korakoe/Melrose-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Korakoe/Melrose-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Korakoe/Melrose-Diffusion", 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
Melrose Diffusion
A Highly stylised mixed model!
Mix Details
| Base Model Name | Weight | Models | Merge Type | Output |
|---|---|---|---|---|
| PastelMix-fp16.ckpt | 0.3 | B: OpenNiji.ckpt C:Anything-v4.5.ckpt | Add Difference | OpenPastel-mix.safetnsors |
| OpenPastel-mix.safetnsors | 0.3 | B: 8528d.ckpt C: sd-v1-4.ckpt | Add Difference | melrose-diffusion.safetensors |
- Downloads last month
- 21