
Photographic Content (60%)
Artistic and Anime (20%)
NSFW (20%)
Portraits and Characters
Anime and Digital Art
Macro and Detail Work
Painting and Conceptual Art
Detailing and Realism: Enhancing overall detail, including skin textures, reflections, and lighting
Faces and Anatomy: Producing more realistic faces, chins, and accurate proportions
Art Styles: Supporting painting, digital art, and anime styles
Photographic Styles: Refining the ability to create photorealistic images with dynamic lighting and rich textures
NSFW Content: Ensuring NSFW prompts are handled with the same level of flexibility and detail as other types of content
Faster Generation: Performance optimizations and reduced generation time
Higher Resolution: Improving the ability to generate images with resolutions above 2MP
Negative Prompting (Pro Version): Enhancing negative prompting capabilities for more precise control (currently in progress and showing promising results)
Flux Chins: Some images may still show the characteristic "Flux chin" issue, especially at higher CFG or distilled guidance
Anime Style: While improved, anime could still be better, it is recommended to pair the model with my Pandora | Anime and Digital Art LoRa
NSFW Incomplete: NSFW content is not fully implemented, and some features still need tuning
Painting Styles: Painting styles are coming in a future update
Better Details: Enhanced textures and lighting across various styles
Photographic Style: Outstanding results with photorealistic images with better look and composition
Better Realism: Realistic scenes, faces, and settings have become more consistent and detailed
Improved Anime: Anime-style images are more polished compared to Flux-Dev or Schnell
Nude Art: Improved handling of nude art to some extent
It will have two branches:
Dev Version: Focused on adaptability and versatility.
Pro Version: A more refined version built from the dedistilled version for enhanced performance, including negative prompting and other advanced features. Mainly the use of CFG or Classifier Free Guidance, giving it an edge over the Dev version and allowing negative prompting, but making it harder to master.
Pandora is still in alpha, meaning there is room for growth and refinement. The goal is for it to become a well-rounded, flexible model that adapts to diverse creative needs, from realism and anime to conceptual storytelling.
The pro version uses a Flux dedistilled core, but there is a distinctive dev and pro branches created for different needs. Feedback is crucial at this stage to shape it into the all-purpose model it’s meant to be.
Pandora | FLUX is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user C47HERINE. Derived from the powerful Stable Diffusion (Flux.1 D) model, Pandora | FLUX 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 Pandora | FLUX is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as base model.
With a rating of 0 and over 0 ratings, Pandora | FLUX is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Pandora | FLUX from here.
To use Pandora | FLUX, 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 Pandora | FLUX, check out our crash course in AI image generation.
About this version
Recommended Parameters
Distilled Guidance: 3 to 3.5
Steps: 25 to 40
Sampler: DEIS or DPM++ 2M
Scheduler: Beta
Upscaler: NKMD Siax or Nomos8kSC – 1.5x to 2x upscale
Note: This release does not include the t5_xxl, CLIP-L, or VAE files. You will need to download them separately for proper functionality:
Text Decoders: t5_xxl and cli-l (FP8 version recommended).
Recommended CLIP-L: CLIP-GmP-ViT-L-14.
VAE: Black Forest Labs VAE (ae.safetensors).
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