Instructions to use funseshon/faju with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use funseshon/faju 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("funseshon/faju") prompt = "A cinematic shot of a futuristic FAJU robot tending to a glowing neon garden in a floating cyberpunk city." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from funseshon/faju: direct link, hf CLI and curl.
- Browser
- Download file 1.87 kB
-
https://huggingface.co/funseshon/faju/resolve/main/README.md
- Command line
-
hf download hf://funseshon/faju/README.md
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curl -L -o README.md https://huggingface.co/funseshon/faju/resolve/main/README.md
1.87 kB
| base_model: krea/Krea-2-Raw | |
| tags: | |
| - text-to-image | |
| - diffusers | |
| - lora | |
| - krea2 | |
| - template:sd-lora | |
| - text-to-image | |
| - diffusers-training | |
| - diffusers | |
| - lora | |
| - krea2 | |
| - krea2-diffusers | |
| - template:sd-lora | |
| license: apache-2.0 | |
| instance_prompt: FAJU | |
| widget: | |
| - text: A cinematic shot of a futuristic FAJU robot tending to a glowing neon garden | |
| in a floating cyberpunk city. | |
| output: | |
| url: sample_0.png | |
| - text: A vintage oil painting of a FAJU explorer discovering an ancient golden temple | |
| hidden deep within a misty jungle. | |
| output: | |
| url: sample_1.png | |
| - text: A macro photograph of a tiny FAJU creature made of liquid crystal resting | |
| on a dew-covered autumn leaf. | |
| output: | |
| url: sample_2.png | |
| library_name: diffusers | |
| # Krea 2 LoRA — funseshon/faju | |
| <Gallery /> | |
| A DreamBooth-LoRA for **Krea 2**, trained on **Krea 2 RAW** and shown on **Krea 2 Turbo**. The samples below were generated with this LoRA on Turbo (8 steps). | |
| ## Trigger | |
| Use the token `FAJU` to invoke the concept. | |
| ## Samples | |
|  | |
| > *"A cinematic shot of a futuristic FAJU robot tending to a glowing neon garden in a floating cyberpunk city."* | |
|  | |
| > *"A vintage oil painting of a FAJU explorer discovering an ancient golden temple hidden deep within a misty jungle."* | |
|  | |
| > *"A macro photograph of a tiny FAJU creature made of liquid crystal resting on a dew-covered autumn leaf."* | |
| ## Use it with diffusers | |
| ```py | |
| import torch | |
| from diffusers import Krea2Pipeline | |
| pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda") | |
| pipe.load_lora_weights("funseshon/faju") | |
| image = pipe("A cinematic shot of a futuristic FAJU robot tending to a glowing neon garden in a floating cyberpunk city.", num_inference_steps=8, guidance_scale=0.0).images[0] | |
| image.save("output.png") | |
| ``` | |