Bonsai-27B-GGUF
lmstudio-community · Kit
A GGUF conversion of the 27B Bonsai model for LM Studio, with a 3.80 GB Q1_0 language file and a 0.93 GB BF16 vision projector. Tested for text, vision and par…
Generates images from text prompts. This is the slightly more stabilized checkpoint of Illustrious XL v2, for people who make images on the maker's site or in their own setup.
Illustrious XL v2.0-STABLE is a kit in the Marketing & SEO category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download OnomaAIResearch/Illustrious-XL-v2.0
Illustrious XL v2.0-STABLE is an image generation model from OnomaAIResearch. It is a checkpoint of Illustrious XL v2 taken from the last phase of its learning rate schedule, which the maker says behaves a little differently and generates more steadily. The page gives few other technical details.
It suits people who want to make pictures from a written description, and developers who build on an existing image checkpoint. The Hugging Face record lists 103 fine-tuned and 4 quantized versions made by others.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Design | Illustrators and designers | Describe a scene in plain language and get an image | A written scene turned into a high-res picture on the maker's site |
| Hobby | Image model fans | Compare this checkpoint with the earlier v2 one | Running both on one prompt to see the subtle differences |
| Development | Model fine-tuners | Start their own versions from this checkpoint | One of the 103 fine-tuned versions listed on Hugging Face |
| Software | Platform builders | Pick a quantized copy for lighter setups | One of the 4 quantized versions listed on Hugging Face |
You can skip it if you need a text or code model, since this one only makes images.
| Use case | Who | What they get back |
|---|---|---|
| Make an image from a description | Designers | An image generated from your prompt |
| Try the stable checkpoint | Model fans | Output that may differ slightly from earlier v2 output |
| Build a fine-tune | Developers | A base checkpoint to train further |
pip install -U huggingface_hub hf download OnomaAIResearch/Illustrious-XL-v2.0
On the maker's site you type a prompt in everyday language, pick a preset if you like and receive an image. With the downloaded files, you point your own image tool at the checkpoint and prompt it there. The page shows no other commands.
You write "a lighthouse at dusk with gulls overhead" in the prompt box. An image of that scene comes back, and the quality depends on the tool and settings you use.
This is a picture making model. For a first try, use the maker's site and type a short description of a scene you want. The file download is for people who already run their own image setup.
The v2 model was trained with a cosine annealing learning rate schedule, so the most stable weights sit in its last annealing phase. This upload takes that later point. The maker calls the differences from the earlier checkpoint usually subtle, with better behavior expected from this one, and says separate optimized checkpoints are planned.
The card gives no benchmarks and no run instructions, so treat comparisons with other models as untested. Downloads in the last 30 days show as 0 in the record.
Generates images from text prompts. This is the slightly more stabilized checkpoint of Illustrious XL v2, for people who make images on the maker's site or in their own setup.
Made by OnomaAIResearch on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.
What it is: Illustrious XL v2.0-STABLE is an image generation model from OnomaAIResearch. It is a checkpoint of Illustrious XL v2 taken from the last phase of its learning rate schedule, which the maker says behaves a little differently and generates more steadily. The page gives few other technical details.
Who it suits: It suits people who want to make pictures from a written description, and developers who build on an existing image checkpoint. The Hugging Face record lists 103 fine-tuned and 4 quantized versions made by others.
Industry | Who uses it | How they use it | Example
Design | Illustrators and designers | Describe a scene in plain language and get an image | A written scene turned into a high-res picture on the maker's site
Hobby | Image model fans | Compare this checkpoint with the earlier v2 one | Running both on one prompt to see the subtle differences
Development | Model fine-tuners | Start their own versions from this checkpoint | One of the 103 fine-tuned versions listed on Hugging Face
Software | Platform builders | Pick a quantized copy for lighter setups | One of the 4 quantized versions listed on Hugging Face
You can skip it if you need a text or code model, since this one only makes images.
Where to use it:
Use case | Who | What they get back
Make an image from a description | Designers | An image generated from your prompt
Try the stable checkpoint | Model fans | Output that may differ slightly from earlier v2 output
Build a fine-tune | Developers | A base checkpoint to train further
How to set it up:
pip install -U huggingface_hub
hf download OnomaAIResearch/Illustrious-XL-v2.0
How to use it: On the maker's site you type a prompt in everyday language, pick a preset if you like and receive an image. With the downloaded files, you point your own image tool at the checkpoint and prompt it there. The page shows no other commands.
Example: You write "a lighthouse at dusk with gulls overhead" in the prompt box. An image of that scene comes back, and the quality depends on the tool and settings you use.
For newcomers and experts: This is a picture making model. For a first try, use the maker's site and type a short description of a scene you want. The file download is for people who already run their own image setup.
The v2 model was trained with a cosine annealing learning rate schedule, so the most stable weights sit in its last annealing phase. This upload takes that later point. The maker calls the differences from the earlier checkpoint usually subtle, with better behavior expected from this one, and says separate optimized checkpoints are planned.
You write a prompt in plain language
The checkpoint generates an image
An image comes back
Good to know: The card gives no benchmarks and no run instructions, so treat comparisons with other models as untested. Downloads in the last 30 days show as 0 in the record.
Download its files with Hugging Face's command line:
pip install -U huggingface_hub
hf download OnomaAIResearch/Illustrious-XL-v2.0
Then follow the usage in its model card. Nothing in this kit runs by itself.
README.md 5 KB
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