Readme

README.md

@@ -1,3 +1,106 @@
 ---
-license: mit
+language:
+  - en
+tags:
+  - text-to-image
+  - stable-diffusion
+pipeline_tag: text-to-image
+
 ---
+
+# ColorfulXL-Lightning
+
+![promo](promo.png)
+
+
+## Model Details
+
+ColorfulXL merged with lightning loras (2,8 steps) from bytedance, for fast inference (3-6 steps). 
+
+High range of resolutions supported (576 - 1280), 576*832 example:
+
+![steps](5.png)
+
+Due to training LORA's on the base version of SDXL, there are problems with hands and faces:
+
+![problems](6.jpg)
+
+
+
+## Usage
+
+```python
+
+from diffusers import DiffusionPipeline
+from diffusers import EulerDiscreteScheduler
+import torch
+
+
+pipeline = DiffusionPipeline.from_pretrained("recoilme/ColorfulXL-Lightning", torch_dtype=torch.float16,variant="fp16", use_safetensors=True).to("cuda")
+pipeline.scheduler = EulerDiscreteScheduler.from_config(pipeline.scheduler.config, timestep_spacing="trailing")
+
+prompt = "girl sitting on a small hill looking at night sky, fflix_dmatter, back view, distant exploding moon, nights darkness, intricate circuits and sensors, photographic realism style, detailed textures, peacefulness, mysterious."
+height = 1024
+width = 1024
+steps = 3
+scale = 0
+seed = 2139965163
+generator = torch.Generator(device="cpu").manual_seed(seed)
+
+image = pipeline(
+            prompt = prompt,
+            height=height,
+            width=width,
+            guidance_scale=scale,
+            num_inference_steps=steps,
+            generator=generator,
+        ).images[0]
+image.show()
+image.save("girl.png")
+```
+
+## Model Details
+
+* **Developed by**: [AiArtLab](https://aiartlab.org/)
+* **Model type**: Diffusion-based text-to-image generative model
+* **Model Description**: This model is a fine-tuned model based on [colorfulxl](https://civitai.com/models/185258/colorfulxl).
+* **License**: This model is not permitted to be used behind API services. Please contact vadim-kulibaba@yandex.ru for business inquires, commercial licensing, custom models, and consultation.
+
+## Uses
+
+### Direct Use
+
+ 
+Research: possible research areas/tasks include:
+
+- Generation of artworks and use in design and other artistic processes.
+- Applications in educational or creative tools.
+- Research on generative models.
+- Safe deployment of models which have the potential to generate harmful content.
+- Probing and understanding the limitations and biases of generative models.
+
+Excluded uses are described below.
+
+### Out-of-Scope Use
+
+The model was not trained to be factual or true representations of people or events, and therefore using the model to generate such content is out-of-scope for the abilities of this model.
+
+## Limitations and Bias
+
+### Limitations
+
+- The model does not achieve perfect photorealism
+- The model cannot render legible text
+- The model struggles with more difficult tasks which involve compositionality, such as rendering an image corresponding to “A red cube on top of a blue sphere”
+- Faces and people in general may not be generated properly.
+- The autoencoding part of the model is lossy.
+
+### Bias
+While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.
+
+
+## Contact
+* For questions and comments about the model, please join [https://aiartlab.org/](https://aiartlab.org/).
+* For future announcements / information about AiArtLab AI models, research, and events, please follow [Discord](https://discord.com/invite/gsvhQEfKQ5).
+* For business and partnership inquiries, please contact https://t.me/recoilme
+