Verified: 2 months 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.
Technically Color Flux is meticulously crafted to capture the unmistakable essence of classic film.
This LoRA was trained on approximately 100+ stills to excel at generating images imbued with the signature vibrant palettes, rich saturation, and dramatic lighting that defined an era of legendary classic film. This LoRA greatly enhances the depth and brilliance of hues, creating more realistic yet dreamlike textures, lush greens, brilliant blues, and sometimes even the distinctive glow seen in classic productions, making your outputs look truly like they've stepped right off a silver screen. I utilized the Lion optimizer option in Kohya, the entire training took approximately 5 hours. Images were captioned using Joy Caption Batch, and the model was trained with Kohya and tested in ComfyUI.
The gallery contains examples with workflows attached. I'm running a very simple 2-pass workflow for most of these; drag and drop the first image into ComfyUI to see the workflow.
Version Notes:
v1 - Initial training run, struggles with anatomy in some generations. The plan for v2 is to incorporate more objects and scene elements into training, but v1 shows promise in portrait styles and overall color reproduction from the training data.
v2 - Trained with similar settings but with more visual context, the model is more flexible than before and can produce some interesting images. The gallery for v2 has a mix of different samplers and workflows for each image seen. This was very experimental and I decided to include all of the different workflows because the results can vary quite a bit.
Trigger Words: t3chnic4lly
Recommended Strength: 0.7–0.9 Recommended Samplers: heun, dpmpp_2m
If you've enjoyed using this LoRA and the other resources I share, please consider sponsoring my work on Ko-Fi. Any support covers essential costs like cloud compute, enabling me to keep creating and sharing these resources with you. Every contribution, no matter how small, makes a difference! 👍🏼