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
- Draw Things
- DiffusionBee
- Xet hash:
- 0891ab944f232601b5eba10f2d82d00b7a93b2d479d8caf47d3bceaa34c05d3a
- Size of remote file:
- 335 MB
- SHA256:
- 6f8b8082aa7332942a28e6dd4338e3c1dc6a056c83ea9c5d8f1b886a48ec7ed8
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