Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
General
Photorealistic
Hassan
s6yx
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Hassanim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Hassanim 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/Hassanim", 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:
- 22eda3a32f3db0c8f99bbcc4ddcc10ea743f535f428d2a1509f4dc4dde1a171f
- Size of remote file:
- 1.72 GB
- SHA256:
- 40322be723b5fc701cae12a8fffecb911df0d0acf874606988c85d3179247f0d
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