Instructions to use Gatchamn/Illustrious-XL-v1.1-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gatchamn/Illustrious-XL-v1.1-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Gatchamn/Illustrious-XL-v1.1-Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Gatchamn/Illustrious-XL-v1.1-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 2.35 kB
-
https://huggingface.co/Gatchamn/Illustrious-XL-v1.1-Diffusers/resolve/main/README.md
- Command line
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hf download hf://Gatchamn/Illustrious-XL-v1.1-Diffusers/README.md
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curl -L -o README.md https://huggingface.co/Gatchamn/Illustrious-XL-v1.1-Diffusers/resolve/main/README.md
2.35 kB
| license: openrail++ | |
| base_model: OnomaAIResearch/Illustrious-XL-v1.1 | |
| pipeline_tag: text-to-image | |
| tags: | |
| - stable-diffusion-xl | |
| - text-to-image | |
| - diffusers | |
| - anime | |
| library_name: diffusers | |
| # Illustrious XL v1.1 — diffusers layout | |
| A format conversion of [**OnomaAIResearch/Illustrious-XL-v1.1**](https://huggingface.co/OnomaAIResearch/Illustrious-XL-v1.1), | |
| by OnomaAI Research. **All credit for the model belongs to them.** | |
| The original is published as a single CompVis-layout `.safetensors`. This repository holds the | |
| same weights rearranged into the standard diffusers directory layout, so it can be loaded without | |
| a conversion step. Nothing was retrained, pruned, or quantized. | |
| ## Licence | |
| **CreativeML Open RAIL++-M**, carried over unchanged from the original release. Commercial use is | |
| permitted, subject to the use restrictions in the licence. Read it on the | |
| [original model page](https://huggingface.co/OnomaAIResearch/Illustrious-XL-v1.1). | |
| ## What was done | |
| Converted with `SDXLSingleFileConverter` from | |
| [mindfire-image](https://github.com/Gatcha-man/mindfire-image): 2641 tensors written | |
| (unet 1680, text_encoder_2 517, vae 248, text_encoder 196). Every tensor's shape was verified | |
| against Stability's SDXL 1.0 base, which also supplied the configs and tokenizers a single file | |
| does not carry. One key was dropped, `conditioner.embedders.1.model.logit_scale`, which diffusers' | |
| text encoder does not use. | |
| ## Usage | |
| OnomaAI's recommended settings: **Euler a, 20–28 steps, CFG 5–7.5**, at SDXL's native 1024² | |
| (booru framings like 832×1216 cost no more). | |
| Illustrious is trained on **Danbooru tags**, not sentences, and learned an explicit quality | |
| vocabulary — `worst quality → bad → average → good → best quality`, plus `masterpiece`. | |
| ``` | |
| 1girl, solo, long hair, white dress, looking at viewer, outdoors, masterpiece, best quality | |
| ``` | |
| Suggested negative prompt, from the model card: | |
| ``` | |
| worst quality, comic, multiple views, bad quality, low quality, lowres, displeasing, | |
| very displeasing, bad anatomy, bad hands, scan artifacts, monochrome, greyscale | |
| ``` | |
| ## Note on LoRAs | |
| Most Illustrious LoRAs on Civitai target **v0.1**, not v1.1. Same architecture and tag vocabulary, | |
| different weights — they generally still fire, but expect to lower the scale and to see some drift | |
| from the samples they advertise. | |