Instructions to use CK85/Ck85 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CK85/Ck85 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CK85/Ck85", 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
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README.md
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license: openrail
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---
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license: openrail
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datasets:
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- HuggingFaceFV/finevideo
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- fka/awesome-chatgpt-prompts
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- openai/gsm8k
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- Anthropic/hh-rlhf
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- vivym/midjourney-prompts
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- PhilipMay/stsb_multi_mt
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language:
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metrics:
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- accuracy
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base_model:
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- deepseek-ai/DeepSeek-V2.5
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library_name: diffusers
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---
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