Chroma - v.35-detail-calibrated
Images en vedette
Prompts recommandés
Extreme close-up photograph of a single tiger eye, direct frontal view. The iris is very detailed and the pupil resembling a dark void. The word "Chroma V.35 now with less steps" is across the lower portion of the image in large white stylized letters, with brush strokes resembling those made with Japanese calligraphy. Each strand of the thick fur is highly detailed and distinguishable. Natural lighting to capture authentic eye shine and depth.
Prompts négatifs recommandés
low quality, ugly, unfinished, out of focus
Paramètres recommandés
samplers
steps
cfg
Conseils
Chroma offers alternative quantization options including FP8 Scaled Quant (useful for inference speed with ComfyUI) and GGUF Quantized format (requires ComfyUI-GGUF custom node).
The model is still training, so community feedback is highly encouraged.
Support for ongoing training of open-source AI models can be done via Ko-fi or Ethereum donations.
Sponsors du créateur

Shoutout to Fictional.ai for the awesome support — seriously appreciate you helping push open-source AI forward.
Hey everyone!
Chroma is a 8.9B parameter model based on FLUX.1-schnell (technical report coming soon!). It’s fully Apache 2.0 licensed, ensuring that anyone can use, modify, and build on top of it—no corporate gatekeeping.
The model is still training right now, and I’d love to hear your thoughts! Your input and feedback are really appreciated.
What Chroma Aims to Do
Training on a 5M dataset, curated from 20M samples including anime, furry, artistic stuff, and photos.
Fully uncensored, reintroducing missing anatomical concepts.
Built as a reliable open-source option for those who need it.
See the Progress
Hugging Face Repo: https://huggingface.co/lodestones/Chroma (go to this repo for the latest model!)
Hugging Face Debug Repo: https://huggingface.co/lodestones/chroma-debug-development-only
Live AIM Training Logs: https://training.lodestone-rock.com/
ComfyUI Inference node [WIP]: https://github.com/lodestone-rock/flux-mod
ComfyUI workflow: https://huggingface.co/lodestones/Chroma/resolve/main/simple_workflow.json
Training code!: https://github.com/lodestone-rock/flow
Quantization options
Alternative option: FP8 Scaled Quant (Format used by ComfyUI with possible inference speed increase)
Alternative option: GGUF Quantized (You will need to install ComfyUI-GGUF custom node)
Special Thanks
Shoutout to Fictional.ai for the awesome support — seriously appreciate you helping push open-source AI forward.
Support Open-Source AI
The current pretraining run has already used 5000+ H100 hours, and keeping this going long-term is expensive.
If you believe in accessible, community-driven AI, any support would be greatly appreciated.
👉 [https://ko-fi.com/lodestonerock/goal?g=1] — Every bit helps!
ETH: 0x679C0C419E949d8f3515a255cE675A1c4D92A3d7
my discord: discord.gg/SQVcWVbqKx
Contributeur
Détails du modèle
Type de modèle
Modèle de base
Version du modèle
Hash du modèle
Créateur
Discussion
Veuillez vous log in pour laisser un commentaire.