Instructions to use hassanblend/HassanBlend1.5.1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hassanblend/HassanBlend1.5.1.2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hassanblend/HassanBlend1.5.1.2", 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
HassanBlend1.5
I am hassan, I created HassansBlend, the latest version currently is 1.5.1.2 I continue to iterate and improve on this model over time. Feel free to check out our discord or rentry page for more examples with prompts and outputs generated.
This blend is finetuned over SD1.5 with thousands of images included in the dataset it was trained with. Along with that there are some minor merges added in just to soften it up and increase the creativity.
I have also some custom created content such as enhancement hypernetworks/embeddings etc for patreons or KoFi subscribers only on my pages below
Links
Patreon
KoFi
Discord

Quicklinks:
- Latest Setup
- HassanBlend Model Finetune Updates
- Latest Patreon Posts
- Models
- Prompts
- Photorealistic Tips
- Embeddings
- Hypernetworks
- Wildcards
- MyTools
- Settings I use
Model details and examples with sample prompts: https://rentry.org/sdhassan
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