U-Net mixed model specialized for fantasy landscape backgrounds(especially floating islands).
Pastel style art for background.
FP16 Pruned version(No EMA).
(Quality change may occur in very small details on buildings' textures)
Recommended prompts :
(masterpiece, best quality, excellent quality), ((1girl, solo, cowboy shot)), (fantasy landscape, fictional landscape)
EasyNegative, cowboy, cowboy hat, cowboy western, cowboy boots, cowboy hat, fat, moss, phone, man, pedestrians, extras, border, outside border, white border, watermark, logo, signature
(EasyNegative is a negative embedding : https://huggingface.co/datasets/gsdf/EasyNegative)
Recommended settings :
Sampler : DPM++ 2M Karras
Sampling steps : 24
Resolution : 768x512
CFG Scale : 9.5
Upscale is a must-do!! Otherwise, you won't get intended results.
Upscaler : Latent (nearest)
Hires steps : 0
Denoise : 0.6
Upscale 2x
Mixed models :
AikimiXPv1.0, colormixed, Counterfeit V2.0, Counterfeit V2.5, Dreamlike Diffusion 1.0, HighRiseMixV2, mouseymix-lignepatsel, powercolorV1, RoboeticInkPunkDreamShaperChromaV5
(Thanks to everyone who made above models!)
Feel free to give feedbacks as you wish, I'll try and work around with it.
FantaStel is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user Rising_Star. Derived from the powerful Stable Diffusion (SD 1.5) model, FantaStel has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that FantaStel is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, landscapes, fantasy.
With a rating of 5 and over 1 ratings, FantaStel is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of FantaStel from here.
To use FantaStel, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like FantaStel, check out our crash course in AI image generation.
V1 : First release!