Instructions to use developer8binks/new_marcellamodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use developer8binks/new_marcellamodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("developer8binks/new_marcellamodel", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4ef19116ade9f1ec16ddb6f57664d233481a0043f70ad1bc43c143106e1018fd
- Size of remote file:
- 2.58 GB
- SHA256:
- 44ec9070cfca5047d919e255bfd89e36b1f9abb08b2106ff1526545220c5d806
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