Instructions to use fricklik/mtrin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fricklik/mtrin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fricklik/mtrin", 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
Commit History
Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1) 08b751e
add mr hm 0dfec54
nahtang commited on
add osk 1a2fecd
nahtang commited on
back vrs. 91bd7bf
nahtang commited on
add osk e3eed3e
nahtang commited on
add ht 87315de
nahtang commited on
add mr b3b9dd3
nahtang commited on
add safety and feature 7bc1476
nahtang commited on
init Commit 5ba4a3b
nahtang commited on