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
File size: 728 Bytes
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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
<Gallery />
## Model description
Backup Form Civitai
## Trigger words
You should use `Fetch` to trigger the image generation.
## Download model
[Download](/Kinimoro/Fetch_from_InfamousSeSO/tree/main) them in the Files & versions tab.
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