| | --- |
| | library_name: diffusers |
| | --- |
| | # InstinctiveDiffuse |
| |
|
| | InstinctiveDiffuse is fine-tuned from `StableDiffusionXL` base model that carefully trained on 100,000 free-copyright images, and carefully DPO tuned. |
| |
|
| | the base model is `stabilityai/stable-diffusion-xl-base-1.0` and the model has improved on being sharper in image generation with prompt tag of ~sharp~. |
| |
|
| |
|
| |
|
| | ## Usage |
| | the usage of the model is available via github of [InstinctiveDiffuse](https://github.com/erfanzar/InstinctiveDiffuse). |
| | please also consider using these keep words to improve your prompts: best quality, ocean render, HD, --version 8. |
| |
|
| |
|
| | ## Direct Use |
| |
|
| | ```python |
| | import torch |
| | from diffusers import StableDiffusionXLPipeline, EulerDiscreteScheduler |
| | |
| | base = "Instinct-AI/InstinctiveDiffuse" |
| | pipe = StableDiffusionXLPipeline.from_pretrained(base, torch_dtype=torch.float16) |
| | pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing") |
| | pipe.enable_model_cpu_offload() |
| | |
| | pipe( |
| | "An astronaut riding a yellow horse on mars", |
| | num_inference_steps=8, |
| | guidance_scale=1 |
| | ).images[0] |
| | ``` |
