Inkpunk Diffusion
v2
Originally posted to HuggingFace by Envvi
Finetuned Stable Diffusion model trained on dreambooth. Vaguely inspired by Gorillaz, FLCL, and Yoji Shinkawa.
What is Inkpunk Diffusion?
Inkpunk Diffusion is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user civitai. Derived from the powerful Stable Diffusion (SD 1.5) model, Inkpunk Diffusion has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Inkpunk Diffusion is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as yoji shinkawa, flcl, gorillaz.
With a rating of 4.87 and over 46 ratings, Inkpunk Diffusion is a popular choice among users for generating high-quality images from text prompts.
Can I download Inkpunk Diffusion?
Yes! You can download the latest version of Inkpunk Diffusion from here.
How to use Inkpunk Diffusion?
To use Inkpunk Diffusion, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Inkpunk Diffusion, check out our crash course in AI image generation.
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Latest version (v2): 1 File
About this version: v2
Improvements:
- Excorsized the woman that seemed to be haunting the model and appearing in basically every prompt (she still pops in here and there, I honestly don't know where she comes from)
- Faces are better overall, and characters are more responsive to descriptive language in prompts, try playing around with emotions/nationality/age/poses to get the best results
- Hair anarchy has been toned down slightly, added more diverse hairstyles to the dataset to avoid everyone having tumbleweed hair, again descriptive language in prompts helps
- Full body poses are also more diverse, though keep in mind that wide angle shots tend to lead to distorted faces that may need to be touched up with img2img/inpainting
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