| --- |
| language: |
| - en |
| tags: |
| - text-to-image |
| - stable-diffusion |
| - safetensors |
| - stable-diffusion-xl |
| license: openrail++ |
| base_model: |
| - cagliostrolab/animagine-xl-4.0 |
| base_model_relation: quantized |
| --- |
| # Animagine XL 4.0 8bit |
|
|
| ## Example Code |
| ```python |
| import torch |
| from diffusers import StableDiffusionXLPipeline |
| import os |
| import secrets |
| |
| pipe = StableDiffusionXLPipeline.from_pretrained( |
| "msArray/animagine-xl-4.0-8bit", |
| torch_dtype=torch.float16, |
| use_safetensors=True, |
| device_map="cuda" |
| ) |
| |
| prompt = "1girl, toki \(blue archive\), blue archive, safe, masterpiece, high score, great score, absurdres" |
| negative_prompt = "lowres, bad anatomy, bad hands, text, error, missing finger, extra digits, fewer digits, cropped, worst quality, low quality, low score, bad score, average score, signature, watermark, username, blurry" |
| |
| image = pipe( |
| prompt, |
| negative_prompt=negative_prompt, |
| width=832, |
| height=1216, |
| guidance_scale=5, |
| num_inference_steps=28 |
| ).images[0] |
| |
| if not os.path.exists("./output"): |
| os.makedirs("./output") |
| |
| image.save(f"./output/{secrets.token_hex(10)}.png") |
| ``` |
|
|
|  |
|
|
