Instructions to use chrisserycher/docmartens23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chrisserycher/docmartens23 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("chrisserycher/docmartens23") prompt = "A futuristic cyberpunk street market in Neo-Tokyo, neon rain reflecting off a pair of scuffed docmartens23 boots stepping through a glowing puddle." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ chrisserycher/docmartens23

- Prompt
- A futuristic cyberpunk street market in Neo-Tokyo, neon rain reflecting off a pair of scuffed docmartens23 boots stepping through a glowing puddle.

- Prompt
- An ethereal, sun-drenched Victorian greenhouse filled with overgrown ferns and white lilies, featuring a single pair of polished docmartens23 resting on a marble floor.

- Prompt
- A gritty, high-contrast black and white shot of a 1970s punk rock basement show, focusing on a musician's feet wearing chunky docmartens23 amidst a sea of amplifier cables.
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 docmartens23 to invoke the concept.
Samples
"A futuristic cyberpunk street market in Neo-Tokyo, neon rain reflecting off a pair of scuffed docmartens23 boots stepping through a glowing puddle."
"An ethereal, sun-drenched Victorian greenhouse filled with overgrown ferns and white lilies, featuring a single pair of polished docmartens23 resting on a marble floor."
"A gritty, high-contrast black and white shot of a 1970s punk rock basement show, focusing on a musician's feet wearing chunky docmartens23 amidst a sea of amplifier cables."
Use it with diffusers
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("chrisserycher/docmartens23")
image = pipe("A futuristic cyberpunk street market in Neo-Tokyo, neon rain reflecting off a pair of scuffed docmartens23 boots stepping through a glowing puddle.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for chrisserycher/docmartens23
Base model
krea/Krea-2-Raw

