Instructions to use Kinimoro/Fetch_from_InfamousSeSO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kinimoro/Fetch_from_InfamousSeSO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kinimoro/Fetch_from_InfamousSeSO") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Kinimoro/Fetch_from_InfamousSeSO: direct link, hf CLI and curl.
- Browser
- Download file 728 Bytes
-
https://huggingface.co/Kinimoro/Fetch_from_InfamousSeSO/resolve/main/README.md
- Command line
-
hf download hf://Kinimoro/Fetch_from_InfamousSeSO/README.md
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curl -L -o README.md https://huggingface.co/Kinimoro/Fetch_from_InfamousSeSO/resolve/main/README.md
728 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/krea2_v2範例_00052_.png
text: '-'
- output:
url: images/krea2_v2範例_00053_.png
text: '-'
- output:
url: images/krea2_v2範例_00058_.png
text: '-'
- output:
url: images/krea2_v2範例_00060_.png
text: '-'
- output:
url: images/krea2_v2範例_00061_.png
text: '-'
base_model: krea/Krea-2-Raw
instance_prompt: Fetch
license: cc-by-nc-4.0
Fetch

- Prompt
- -

- Prompt
- -

- Prompt
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- Prompt
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- Prompt
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Model description
Backup Form Civitai
Trigger words
You should use Fetch to trigger the image generation.
Download model
Download them in the Files & versions tab.