Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
digiplay
cordonsolution8
Instructions to use Yntec/InsaneM3U with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/InsaneM3U with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/InsaneM3U", 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:
- 6b4acb58b9f7e8b11be7577c736f7a4ed5d662e6d630f42e69a22409c3c30166
- Size of remote file:
- 492 MB
- SHA256:
- b6f5be4162e637ceb8b21e02d1098237edaec82ce2577f442520831230bf6263
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