Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
General
Photorealistic
Hassan
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/HassanBlend12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/HassanBlend12 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/HassanBlend12", 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:
- 43f93c45cc3abf0b6e5ef877c0871bb45847208672c422bf005ad8882013c797
- Size of remote file:
- 246 MB
- SHA256:
- 8ca50c557d2ec146a2fd959675d89490c9b1ac2791999b0210d76433a5034297
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