Instructions to use mikkoph/mikkofilm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mikkoph/mikkofilm 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-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mikkoph/mikkofilm") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 1,245 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/generated-1783098856.png
text: '-'
- output:
url: images/generated-1783099262.png
text: '-'
- output:
url: images/generated-1783103883.png
text: '-'
- output:
url: images/generated-1783103792.png
text: '-'
- output:
url: images/generated-1783098844.png
text: '-'
- output:
url: images/generated-1783103822.png
text: '-'
- output:
url: images/generated-1783098809.png
text: '-'
- output:
url: images/generated-1783103850.png
text: '-'
- output:
url: images/generated-1783103832.png
text: '-'
- output:
url: images/generated-1783098852.png
text: '-'
base_model: krea/Krea-2-Turbo
instance_prompt: '@mikkofilm'
license: mit
---
# mikkofilm
<Gallery />
## Model description
This LoRA tries to reproduce the look of film fashion photography. Pairs well with [mikkoph for Krea 2](https://huggingface.co/mikkoph/mikkoph-krea2) for a polished look, while alone it gives a more natural vibe.
## Trigger words
You should use `@mikkofilm` to trigger the image generation.
## Download model
[Download](/mikkoph/mikkofilm/tree/main) them in the Files & versions tab.
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