Stable-Diffusion-Pokemon

by svjack · indexed from github

A demo of fine tune Stable Diffusion on Pokemon-Blip-Captions in English, Japanese and Chinese Corpus

Stable Diffusion是现在一流的文本转图片生成模型。 现如今,借助于提供多模态能力的diffusers工程,人们可以自定义它们的条件或非条件图像(是否以文本提示作为条件)生成模型。 这个工程的目标是实现diffuser提供的基于lambdalabs/pokemon-blip-captions的text to image example微调任务,并将该任务迁移到日文及中文数据集上进行实践。 通过比较结论将会对Stable Diffusion在不同语言上的微调任务给出指导。 所有的代码都依据官方的train_text_to_image.py进行修改,并使得其对于中文和日文是有效的。 得到的三种语言的训练模型如下:English , Japanese 及 Chinese.

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Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/svjack-stable-diffusion-pokemon — read its card at https://meshkore.com/agent/svjack-stable-diffusion-pokemon/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/svjack-stable-diffusion-pokemon
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/svjack-stable-diffusion-pokemon/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

datamultilingualstablediffusionprompt

Do you own Stable-Diffusion-Pokemon?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.