Instructions to use GenAIJake/d0nk1n-pomeranian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GenAIJake/d0nk1n-pomeranian with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("GenAIJake/d0nk1n-pomeranian") prompt = "d0nk1n Pomeranian" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from GenAIJake/d0nk1n-pomeranian: direct link, hf CLI and curl.
- Browser
- Download file 832 Bytes
-
https://huggingface.co/GenAIJake/d0nk1n-pomeranian/resolve/main/README.md
- Command line
-
hf download hf://GenAIJake/d0nk1n-pomeranian/README.md
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curl -L -o README.md https://huggingface.co/GenAIJake/d0nk1n-pomeranian/resolve/main/README.md
832 Bytes
metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- fluxgym
widget:
- output:
url: sample/d0nk1n-pomeranian_002560_00_20240922231714.png
text: d0nk1n Pomeranian
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: d0nk1n Pomeranian
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
d0nk1n-pomeranian
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- d0nk1n Pomeranian
Trigger words
You should use d0nk1n Pomeranian to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.