Instructions to use freshcodes/cat_in_space with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use freshcodes/cat_in_space with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("freshcodes/cat_in_space") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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license: creativeml-openrail-m
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language:
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base_model:
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pipeline_tag: text-to-image
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tags:
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Model Description
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This model is a fine-tuned Stable Diffusion model trained to generate cartoon/anime-style characters in different outfits, roles, and professions. The outputs are vibrant, colorful, and suitable for illustrations, educational content, and storytelling.
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license: creativeml-openrail-m
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language:
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- en
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base_model:
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- stabilityai/stable-diffusion-xl-base-1.0
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pipeline_tag: text-to-image
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tags:
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- lora
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---
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Model Description
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This model is a fine-tuned Stable Diffusion model trained to generate cartoon/anime-style characters in different outfits, roles, and professions. The outputs are vibrant, colorful, and suitable for illustrations, educational content, and storytelling.
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