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---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: Calvin and Hobbs swimming in the pool chatting
output:
url: samples/group_0.gif
- text: Calvin and Hobbs climbing tree and talking
output:
url: samples/group_1.gif
- text: Calvin and Hobbs talking about quitting school
output:
url: samples/group_2.gif
- text: Calvin and Hobbs eat dinner
output:
url: samples/group_3.gif
- text: Calvin and Hobbs go to shopping
output:
url: samples/group_4.gif
- text: Calvin and Hobbs in Mountain
output:
url: samples/CNH.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Calvin and Hobbs
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
---
# ComicStrips_flux_lora_v1_fp16
This is a fine-tuned model based on the Flux model, specifically trained with LoRA (Low-Rank Adaptation) technique, to generate comic strips in the style of Calvin and Hobbes. This model was trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
enabling you to create fun and engaging comic strip scenarios using Calvin and Hobbes characters.
<Gallery />
## Trigger words
You should use `Calvin and Hobbs` to trigger the image generation.
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
[Download](/zhreyu/ComicStrips-Lora-Fluxdev/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('zhreyu/ComicStrips-Lora-Fluxdev', weight_name='ComicStrips_flux_lora_v1_fp16.safetensors')
image = pipeline('Calvin and Hobbs swimming in the pool chatting about drinking lemonade').images[0]
image.save("my_image.png")
```
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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