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
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# Hassanim
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An attempt to improve over HassamBlend with the help of ReVAnimated. This was a prompt that created a composition I loved with SD1.5, but the face always looked bad. I tried dozens of models and they didn't improve the input much, except for ReVAnim that improved on the compossition, and HassanBlend provided the
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Comparison:
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# Hassanim
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An attempt to improve over HassamBlend with the help of ReVAnimated. This was a prompt that created a composition I loved with SD1.5, but the face always looked bad. I tried dozens of models and they didn't improve the input much, except for ReVAnim that improved on the compossition, and HassanBlend provided the best face. At the end the model remains 95% HassanBlend.
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Comparison:
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