Verified: 9 hours ago
SafeTensor
The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.
Trained with OSTRIS AI-Toolkit @ runpod.io
Flux Kontext:
Comfyui Workflow:
Transform any input image into immersive 360-degree panoramic views with this specialized LoRA model.
Model Description
This Kontext LoRA has been specifically trained to convert regular input images into full 360-degree panoramic representations. The model leverages advanced training techniques to understand spatial relationships and generate contextually appropriate wraparound imagery.
Training Details
Dataset: Custom before/after image pairs showcasing the transformation from standard images to 360-degree panoramas
Training Framework: Ostris AI Toolkit
Model Type: Kontext LoRA for Flux
Purpose: Image-to-360° panorama conversion
Usage Notes
Base Quality: The raw output without upscaling may appear less refined
Recommended Enhancement: Use tiled diffusion upscaling for significantly improved results
Workflow: A complete ComfyUI workflow for creating seamless 360-degree images will be uploaded soon
Applications
Perfect for creating immersive content, virtual environments, VR experiences, and panoramic artwork from standard input images.
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Flux Version:
The LoRA can create 360-degree panoramic images, and there is a high probability that the textures at the edges will be seamless.
However, as is often the case with AI-generated images, it doesn't always work perfectly.
But it works ;)
Here’s a tip for creating the images:
Choose a 2:1 format, such as 1536x768 pixels, for the first sampler. Then, use the Ultimate Upscaler to do a 2x or 4x upscaling. This should help maintain quality while generating 360-degree panoramic images.
The 'SCHNELL' version is trained with Rank 64 and SCHNELL as a Base Model, making it a bit more resource-efficient. 'Dev' offers the best image quality with Rank 128, but if speed is the priority, 'SCHNELL' is ideal.