Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Style
General
Anime
Art
moesah
XpucT
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/RainbowPunk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RainbowPunk with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/RainbowPunk", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
License Compatibility
#2
by goodnight399 - opened
Hi, I’d like to report a potential license incompatibility inYntec/RainbowPunk. According to the model information, this model was finetuned from Yntec/Deliberate2, which is licensed under CC-BY-NC-ND 4.0.
However, the model Yntec/RainbowPunk is currently released under the CreativeML-OpenRAIL-M License, which may be incompatible with the source model’s restrictions — particularly the “No Derivatives” clause in the CC-BY-NC-ND-4.0 license.
⚠️ License Conflicts:
CC-BY-NC-ND 4.0:
• BY: Attribution required
• NC: Non-commercial use only
• ND: No Derivatives – prohibits sharing modified, transformed, or finetuned versions
CreativeML-OpenRAIL-M License:
• Allows sharing, modifying, and finetune the model
• Enables downstream reuse and redistribution
• Often used for responsible AI distribution, including research and commercial contexts (with conditions)
Conflict:
→ CC-BY-NC-ND explicitly forbids the **distribution of derivative works**
→ An finetune-based model is considered a derivative under most interpretations
→ Releasing the finetuned model under CreativeML-OpenRAIL-M License contradicts the ND clause and may breach the original license
Let me know if I misunderstood anything — happy to help clarify further!
Thanks for your attention!