Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
Art
Realistic
stable-diffusion
stable-diffusion-diffusers
pmango300574
Instructions to use Yntec/MangledMerge3_768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/MangledMerge3_768 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/MangledMerge3_768", 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:
- 8dc7819ff544dc74ae850d37fccd39f13ff3d8266fa483906f287cdf3800c1c3
- Size of remote file:
- 2.61 GB
- SHA256:
- 22c84a4a0a55b75a48935bed3ff73909f66d1673a53e12ac6d2400286bfdab03
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