Add er_sde/dpmpp_2m_sde_gpu samplers, er_sde default, README-aligned negative prompt

README.md

@@ -33,3 +33,10 @@ Checkpoints: `hs-anima-2.0.safetensors`, `MiaoMiao RealSkin _Anima_v1.1zs_net.sa
 4. Optional: `GPU_DURATION` env var (default 30s) to tune the ZeroGPU window.
 
 Workflow: [`image_anima_base_v1.json`](https://github.com/Comfy-Org/workflow_templates/blob/main/templates/image_anima_base_v1.json).
+
+## Prompting (from the official Anima README)
+
+- Defaults: 30 steps, CFG 4, `er_sde` / `simple`.
+- Recommended positive prefix: `masterpiece, best quality, score_7, safe, `
+- Recommended negative: `worst quality, low quality, score_1, score_2, score_3, artist name, blurry, jpeg artifacts, chromatic aberration`
+- Use lowercase Danbooru-style tags, spaces instead of underscores; score tags keep underscores; prefix artist tags with `@`.

app.py

@@ -255,7 +255,7 @@ RESOLUTIONS = {
     "16:9 (1344x768)": (1344, 768),
 }
 
-SAMPLERS = ["euler", "euler_ancestral", "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_sde", "heun", "ddim", "uni_pc"]
+SAMPLERS = ["er_sde", "euler", "euler_ancestral", "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_sde", "heun", "ddim", "uni_pc"]
 SCHEDULERS = ["simple", "normal", "karras", "exponential", "sgm_uniform"]
 
 LORA_CHOICES = list_loras() or ["real_skin.safetensors"]
@@ -269,7 +269,7 @@ with gr.Blocks(title="Anima Collection") as app:
             prompt_input = gr.Textbox(label="Prompt", lines=3)
             negative_input = gr.Textbox(
                 label="Negative prompt", lines=2,
-                value="worst quality, low quality, blurry, bad anatomy, bad hands, extra digits, deformed",
+                value="worst quality, low quality, score_1, score_2, score_3, artist name, blurry, jpeg artifacts, chromatic aberration",
             )
             resolution = gr.Dropdown(label="Resolution", choices=list(RESOLUTIONS), value="1:1 (1024x1024)")
             with gr.Row():
@@ -280,7 +280,7 @@ with gr.Blocks(title="Anima Collection") as app:
                 steps_input = gr.Slider(label="Steps", minimum=10, maximum=60, value=30, step=1)
                 cfg_input = gr.Slider(label="CFG", minimum=1.0, maximum=8.0, value=4.0, step=0.1)
             with gr.Accordion("Sampler", open=False):
-                sampler_input = gr.Dropdown(label="Sampler", choices=SAMPLERS, value="euler")
+                sampler_input = gr.Dropdown(label="Sampler", choices=SAMPLERS, value="er_sde")
                 scheduler_input = gr.Dropdown(label="Scheduler", choices=SCHEDULERS, value="simple")
             with gr.Accordion("LoRA", open=False):
                 lora_enable = gr.Checkbox(label="Enable", value=False)