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:
- a6129cb4fb7cf6624fb81992f0ec99d514fc3b111376c6bdd0f2428544cad802
- Size of remote file:
- 167 MB
- SHA256:
- 4c886290f45f0b551af5a660241d71dcf98fcfe4c5fa3e42dfcba08b61190bb8
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