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fascinatio-redmond-pixart-alpha-finetuned

fascinatio-redmond-pixart-alpha-finetuned

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On this page

  1. What is Fascinatio.Redmond?
  2. Model Specifications
  3. How to Use
  4. Example Outputs
  5. Community Reception
  6. Common Issues
  7. FAQ
  8. Sources

Fascinatio.Redmond is a versatile generalist checkpoint built on PixArt-Alpha 1024, fine-tuned over approximately 60,000 steps to handle diverse image generation tasks.

What is Fascinatio.Redmond?

Fascinatio.Redmond is a checkpoint model for PixArt-Alpha developed by ArtificialGuyBR, trained with GPU support from Redmond.AI. Unlike specialized models that focus on one style or subject, this generalist approach trains the model to handle people, women, cars, artistic scenes, and general imagery with reasonable quality across the board.

The model was fine-tuned on the base PixArt-Alpha 1024 architecture. After 60k steps of training, it achieved improved coherence and subject rendering while maintaining the flexibility of the original model.

Model Specifications

How to Use

from diffusers import PixArtAlphaPipeline

pipe = PixArtAlphaPipeline.from_pretrained(
    "artificialguybr/Fascinatio-PixartAlpha1024-Finetuned",
    torch_dtype=torch.float16
)
pipe = pipe.to("cuda")

image = pipe(
    "a portrait of a woman with natural lighting"
).images[0]

The model follows standard PixArt-Alpha prompting conventions. Use natural language descriptions for best results.

Example Outputs

The sample images demonstrate the model's ability to render:

Generated image example Generated image example Generated image example

Community Reception

The model has received positive feedback on Civitai with 50 reviews rated as "Very Positive" and 983 downloads. It is also available on HuggingFace with 40 downloads and 7 likes.

Common Issues

Issue | Cause | Fix | Source

|---|---|---|---

Poor quality output | Wrong pipeline selected | Use PixArtAlphaPipeline only | Model Card Memory errors | FP32 used instead of FP16 | Load with torch_dtype=torch.float16 | Civitai

FAQ

Q: Do I need trigger words? No. The model is trained as a generalist and responds to natural language prompts.

Q: What resolution does it support? The model generates at 1024x1024 by default.

Q: Is this model suitable for SDXL workflows? No. This is a PixArt-Alpha checkpoint and requires the corresponding pipeline.

Q: What license is this model? The model card does not specify a license. Check the Civitai or HuggingFace page for the latest information.

Sources