Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use kabachuha/maxwell-the-cat-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kabachuha/maxwell-the-cat-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kabachuha/maxwell-the-cat-diffusion", 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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## Description
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Maxwell the Cat Diffusion is a latent text-to-image diffusion model based on the original CompVis Stable Diffusion v1.5 and then fine-tuned on 5 images based on the 'Maxwell the Cat' meme originating from the modded Half Life 2 video.
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To use this gorgeous object in your generations, add `maxwell the cat` to the prompts.
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## Description
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Maxwell the Cat Diffusion is a latent text-to-image diffusion model based on the original CompVis Stable Diffusion v1.5 and then fine-tuned on 5 images based on the 'Maxwell the Cat' meme originating from the modded Half Life 2 video.
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To use this gorgeous object in your generations, add `maxwell the cat` to the prompts.
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